The data pipeline for the delta farm project was starting to become convoluted. It felt prudent to outline it somewhere so i decided to give it a shot in Rmarkdown. ;) Thanks Andrew.
The work consists of four principal steps.
The later steps may well be beyond the scope of this document. As such, i will reserve those for a later date.
First we will call on our libraries to carry out subsequent functions.
library(lubridate)
library(tidyverse)
library(ggpubr)
library(zoo)
library(scales)
library(gridExtra)
library(grid)
library(mosaic)
library(knitr)
library(kableExtra)
library(mice)
library(patchwork)
Now we are ready to read in our data set which is stored as a csv. This data set includes, inbedded in it, the QAQC checks carried out for sample analysis as well as sampling trip quality objectives outlined in the project QAPP.
So, lets give that csv a look.
dat <- read.csv("DF_final.csv",
stringsAsFactors = FALSE,
na.strings = c("", "NA")
) %>%
mutate(
Date = lubridate::mdy(Date),
sampleid = as.factor(sampleid),
farm = as.factor(farm),
treatment = as.factor(treatment),
TUR_ntu = as.numeric(TUR_ntu),
sample_type = as.factor(sample_type)
)
We pipe the data set to mutate so R will be sure to read the variables like we want them. This is the first touch of housekeeping.
Now that we have a dataframe, what does it look like?
str(dat)
## 'data.frame': 488 obs. of 43 variables:
## $ Date : Date, format: "2018-02-05" "2018-02-05" ...
## $ qaqc.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ sampleid : Factor w/ 24 levels "ARR1","ARR2",..: 10 11 21 22 10 11 19 20 21 22 ...
## $ sample_type : Factor w/ 2 levels "EOF","INST": 1 1 1 1 1 1 1 1 1 1 ...
## $ farm : Factor w/ 11 levels "ARR","CAR","DCDC",..: 5 5 10 10 5 5 9 9 10 10 ...
## $ treatment : Factor w/ 2 levels "CCMT","FBM": 1 2 1 2 1 2 1 2 1 2 ...
## $ initialweight_g : num 0.0796 0.0948 0.1057 0.0985 0.0845 ...
## $ filtered_volume_ml : int 20 50 20 20 20 20 20 20 20 20 ...
## $ final_weight_g : num 0.105 0.112 0.104 0.11 0.101 ...
## $ TSS_mgl : num 1285 340 -105 555 800 ...
## $ TUR_ntu : num 221 302 223 434 576 2250 919 1420 1060 2370 ...
## $ tur.std.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ NO3.NO2_mgl : num 0.891 5.59 0.759 5.47 1.4 4.97 1.8 2.94 1.56 5.61 ...
## $ TKN_mgl : num 1.51 0 1.85 1.01 1.08 1.1 2.43 3 0.98 0 ...
## $ TN_mgl : num 2.4 5.5 2.6 6.48 2.47 6.07 4.23 5.94 2.54 5.23 ...
## $ tn.std.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ TIP_mgl : num 3.03 3.06 2.05 2.65 1.85 3.14 4.15 5.03 1.72 2.31 ...
## $ tip.std.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ NH3_mgl : num 0.0508 -0.0208 -0.0445 0.0758 0.0655 0.0581 0.0116 0.0352 0.0903 0.0847 ...
## $ nh3.std.check : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ OrthoP_mgl : num 0.205 0.115 0.00211 0.00481 0.191 0.192 0.396 0.653 0.192 0.22 ...
## $ orthop.std.check : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ NOx_mgl : num 0.287 4.71 0.0272 4.65 0.416 1.42 0.121 0.551 0.17 2.55 ...
## $ nox.std.check : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ NO2_mgl : num -0.0314 -0.0257 -0.0369 -0.0342 -0.037 -0.0395 -0.0312 -0.0308 -0.0334 -0.0364 ...
## $ no2.std.check : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ NO3_mgl : num 0.262 4.685 0.0022 4.625 0.391 ...
## $ event_disch_l : num 746149 141626 200606 345867 1901124 ...
## $ acft_discharge : num 0.605 0.115 0.163 0.28 1.542 ...
## $ in_runoff_ac : num 0.3813 0.0845 0.1366 0.1913 0.9715 ...
## $ TSS_kg : num 958.8 48.2 -21.1 192 1520.9 ...
## $ TN_kg : num 1.791 0.779 0.522 2.241 4.696 ...
## $ TIP_kg : num 2.261 0.433 0.411 0.917 3.517 ...
## $ TSS_lb : num 2113.8 106.2 -46.4 423.2 3353 ...
## $ TN_lb : num 3.95 1.72 1.15 4.94 10.35 ...
## $ TIP_lb : num 4.984 0.955 0.907 2.021 7.754 ...
## $ TSS_lbac : num 111.02 6.58 -3.25 24.06 176.1 ...
## $ TN_lbac : num 0.2073 0.1065 0.0805 0.2809 0.5437 ...
## $ TIP_lbac : num 0.2618 0.0592 0.0634 0.1149 0.4072 ...
## $ dissolvedO2_mg_l : num NA NA NA NA NA NA NA NA NA NA ...
## $ dissolvedO2_sat_per: num NA NA NA NA NA NA NA NA NA NA ...
## $ turbidity_sonde_ntu: num NA NA NA NA NA NA NA NA NA NA ...
## $ watertemp_c : num NA NA NA NA NA NA NA NA NA NA ...
Here we can see all the variables in the dataset. Though, we can see that they don’t seem to single style pattern. Lets fix that with a bit of code that will switch all the underscores to periods.
names(dat) <- gsub(
x = names(dat),
pattern = "\\_",
replacement = "."
)
Again, lets take a look at the structure just to make sure it’s what we want.
str(dat)
## 'data.frame': 488 obs. of 43 variables:
## $ Date : Date, format: "2018-02-05" "2018-02-05" ...
## $ qaqc.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ sampleid : Factor w/ 24 levels "ARR1","ARR2",..: 10 11 21 22 10 11 19 20 21 22 ...
## $ sample.type : Factor w/ 2 levels "EOF","INST": 1 1 1 1 1 1 1 1 1 1 ...
## $ farm : Factor w/ 11 levels "ARR","CAR","DCDC",..: 5 5 10 10 5 5 9 9 10 10 ...
## $ treatment : Factor w/ 2 levels "CCMT","FBM": 1 2 1 2 1 2 1 2 1 2 ...
## $ initialweight.g : num 0.0796 0.0948 0.1057 0.0985 0.0845 ...
## $ filtered.volume.ml : int 20 50 20 20 20 20 20 20 20 20 ...
## $ final.weight.g : num 0.105 0.112 0.104 0.11 0.101 ...
## $ TSS.mgl : num 1285 340 -105 555 800 ...
## $ TUR.ntu : num 221 302 223 434 576 2250 919 1420 1060 2370 ...
## $ tur.std.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ NO3.NO2.mgl : num 0.891 5.59 0.759 5.47 1.4 4.97 1.8 2.94 1.56 5.61 ...
## $ TKN.mgl : num 1.51 0 1.85 1.01 1.08 1.1 2.43 3 0.98 0 ...
## $ TN.mgl : num 2.4 5.5 2.6 6.48 2.47 6.07 4.23 5.94 2.54 5.23 ...
## $ tn.std.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ TIP.mgl : num 3.03 3.06 2.05 2.65 1.85 3.14 4.15 5.03 1.72 2.31 ...
## $ tip.std.check : logi FALSE FALSE FALSE FALSE TRUE TRUE ...
## $ NH3.mgl : num 0.0508 -0.0208 -0.0445 0.0758 0.0655 0.0581 0.0116 0.0352 0.0903 0.0847 ...
## $ nh3.std.check : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ OrthoP.mgl : num 0.205 0.115 0.00211 0.00481 0.191 0.192 0.396 0.653 0.192 0.22 ...
## $ orthop.std.check : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ NOx.mgl : num 0.287 4.71 0.0272 4.65 0.416 1.42 0.121 0.551 0.17 2.55 ...
## $ nox.std.check : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ NO2.mgl : num -0.0314 -0.0257 -0.0369 -0.0342 -0.037 -0.0395 -0.0312 -0.0308 -0.0334 -0.0364 ...
## $ no2.std.check : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
## $ NO3.mgl : num 0.262 4.685 0.0022 4.625 0.391 ...
## $ event.disch.l : num 746149 141626 200606 345867 1901124 ...
## $ acft.discharge : num 0.605 0.115 0.163 0.28 1.542 ...
## $ in.runoff.ac : num 0.3813 0.0845 0.1366 0.1913 0.9715 ...
## $ TSS.kg : num 958.8 48.2 -21.1 192 1520.9 ...
## $ TN.kg : num 1.791 0.779 0.522 2.241 4.696 ...
## $ TIP.kg : num 2.261 0.433 0.411 0.917 3.517 ...
## $ TSS.lb : num 2113.8 106.2 -46.4 423.2 3353 ...
## $ TN.lb : num 3.95 1.72 1.15 4.94 10.35 ...
## $ TIP.lb : num 4.984 0.955 0.907 2.021 7.754 ...
## $ TSS.lbac : num 111.02 6.58 -3.25 24.06 176.1 ...
## $ TN.lbac : num 0.2073 0.1065 0.0805 0.2809 0.5437 ...
## $ TIP.lbac : num 0.2618 0.0592 0.0634 0.1149 0.4072 ...
## $ dissolvedO2.mg.l : num NA NA NA NA NA NA NA NA NA NA ...
## $ dissolvedO2.sat.per: num NA NA NA NA NA NA NA NA NA NA ...
## $ turbidity.sonde.ntu: num NA NA NA NA NA NA NA NA NA NA ...
## $ watertemp.c : num NA NA NA NA NA NA NA NA NA NA ...
Later we will want to consider our data from a seasonal perspective given the nature of the treatment. Lets go ahead and add this variable to the data frame. I’ll assign the season with an if~else statement then tidy up so R will undertand this factor in our analysis.
dat$season <- ifelse(
month(dat$Date) == 11 | month(dat$Date) == 12 | month(dat$Date) == 1|
month(dat$Date) == 2 | month(dat$Date) == 3 | month(dat$Date) == 4,
"cover",
"cash")
dat <- dat %>%
mutate(season = as.factor(season))
One last thing before we move on. With a scollable box we should be able to preview our dataframe.
kable(dat, "html", digits = 4) %>%
kable_paper() %>%
scroll_box(height = "600px")
| Date | qaqc.check | sampleid | sample.type | farm | treatment | initialweight.g | filtered.volume.ml | final.weight.g | TSS.mgl | TUR.ntu | tur.std.check | NO3.NO2.mgl | TKN.mgl | TN.mgl | tn.std.check | TIP.mgl | tip.std.check | NH3.mgl | nh3.std.check | OrthoP.mgl | orthop.std.check | NOx.mgl | nox.std.check | NO2.mgl | no2.std.check | NO3.mgl | event.disch.l | acft.discharge | in.runoff.ac | TSS.kg | TN.kg | TIP.kg | TSS.lb | TN.lb | TIP.lb | TSS.lbac | TN.lbac | TIP.lbac | dissolvedO2.mg.l | dissolvedO2.sat.per | turbidity.sonde.ntu | watertemp.c | season |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-02-05 | FALSE | MUR1 | EOF | MUR | CCMT | 0.0796 | 20 | 0.1053 | 1285.0 | 221.00 | FALSE | 0.8910 | 1.5100 | 2.400 | FALSE | 3.030 | FALSE | 0.0508 | TRUE | 0.2050 | TRUE | 0.2870 | FALSE | -0.0314 | TRUE | 0.2620 | 746149.200 | 0.6050 | 0.3813 | 958.8017 | 1.7908 | 2.2608 | 2113.7743 | 3.9479 | 4.9842 | 111.0176 | 0.2073 | 0.2618 | NA | NA | NA | NA | cover |
| 2018-02-05 | FALSE | MUR2 | EOF | MUR | FBM | 0.0948 | 50 | 0.1118 | 340.0 | 302.00 | FALSE | 5.5900 | 0.0000 | 5.500 | FALSE | 3.060 | FALSE | -0.0208 | TRUE | 0.1150 | TRUE | 4.7100 | FALSE | -0.0257 | TRUE | 4.6850 | 141626.200 | 0.1148 | 0.0845 | 48.1529 | 0.7789 | 0.4334 | 106.1579 | 1.7173 | 0.9554 | 6.5814 | 0.1065 | 0.0592 | NA | NA | NA | NA | cover |
| 2018-02-05 | FALSE | SIM1 | EOF | SIM | CCMT | 0.1057 | 20 | 0.1036 | -105.0 | 223.00 | FALSE | 0.7590 | 1.8500 | 2.600 | FALSE | 2.050 | FALSE | -0.0445 | TRUE | 0.0021 | TRUE | 0.0272 | FALSE | -0.0369 | TRUE | 0.0022 | 200605.800 | 0.1627 | 0.1366 | -21.0636 | 0.5216 | 0.4112 | -46.4368 | 1.1499 | 0.9066 | -3.2496 | 0.0805 | 0.0634 | NA | NA | NA | NA | cover |
| 2018-02-05 | FALSE | SIM2 | EOF | SIM | FBM | 0.0985 | 20 | 0.1096 | 555.0 | 434.00 | FALSE | 5.4700 | 1.0100 | 6.480 | FALSE | 2.650 | FALSE | 0.0758 | TRUE | 0.0048 | TRUE | 4.6500 | FALSE | -0.0342 | TRUE | 4.6250 | 345866.700 | 0.2804 | 0.1913 | 191.9560 | 2.2412 | 0.9165 | 423.1862 | 4.9410 | 2.0206 | 24.0583 | 0.2809 | 0.1149 | NA | NA | NA | NA | cover |
| 2018-02-07 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0845 | 20 | 0.1005 | 800.0 | 576.00 | TRUE | 1.4000 | 1.0800 | 2.470 | TRUE | 1.850 | TRUE | 0.0655 | TRUE | 0.1910 | TRUE | 0.4160 | FALSE | -0.0370 | TRUE | 0.3910 | 1901124.000 | 1.5415 | 0.9715 | 1520.8992 | 4.6958 | 3.5171 | 3352.9744 | 10.3523 | 7.7538 | 176.1016 | 0.5437 | 0.4072 | NA | NA | NA | NA | cover |
| 2018-02-07 | TRUE | MUR2 | EOF | MUR | FBM | 0.1092 | 20 | 0.1157 | 325.0 | 2250.00 | TRUE | 4.9700 | 1.1000 | 6.070 | TRUE | 3.140 | TRUE | 0.0581 | TRUE | 0.1920 | TRUE | 1.4200 | FALSE | -0.0395 | TRUE | 1.3950 | 5352589.000 | 4.3401 | 3.1932 | 1739.5914 | 32.4902 | 16.8071 | 3835.1033 | 71.6279 | 37.0530 | 237.7621 | 4.4407 | 2.2971 | NA | NA | NA | NA | cover |
| 2018-02-07 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0785 | 20 | 0.1130 | 1725.0 | 919.00 | TRUE | 1.8000 | 2.4300 | 4.230 | TRUE | 4.150 | TRUE | 0.0116 | TRUE | 0.3960 | TRUE | 0.1210 | FALSE | -0.0312 | TRUE | 0.0960 | 1279235.000 | 1.0373 | 1.1991 | 2206.6804 | 5.4112 | 5.3088 | 4864.8476 | 11.9295 | 11.7038 | 468.6751 | 1.1493 | 1.1275 | NA | NA | NA | NA | cover |
| 2018-02-07 | TRUE | SCH2 | EOF | SCH | FBM | 0.1054 | 20 | 0.1209 | 775.0 | 1420.00 | TRUE | 2.9400 | 3.0000 | 5.940 | TRUE | 5.030 | TRUE | 0.0352 | TRUE | 0.6530 | TRUE | 0.5510 | FALSE | -0.0308 | TRUE | 0.5260 | 1532954.000 | 1.2430 | 1.6355 | 1188.0394 | 9.1057 | 7.7108 | 2619.1516 | 20.0745 | 16.9991 | 287.1877 | 2.2012 | 1.8639 | NA | NA | NA | NA | cover |
| 2018-02-07 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0808 | 20 | 0.1226 | 2090.0 | 1060.00 | TRUE | 1.5600 | 0.9800 | 2.540 | TRUE | 1.720 | TRUE | 0.0903 | TRUE | 0.1920 | TRUE | 0.1700 | FALSE | -0.0334 | TRUE | 0.1450 | 67448.230 | 0.0547 | 0.0459 | 140.9668 | 0.1713 | 0.1160 | 310.7754 | 0.3777 | 0.2558 | 21.7478 | 0.0264 | 0.0179 | NA | NA | NA | NA | cover |
| 2018-02-07 | TRUE | SIM2 | EOF | SIM | FBM | 0.0949 | 20 | 0.1165 | 1080.0 | 2370.00 | TRUE | 5.6100 | 0.0000 | 5.230 | FALSE | 2.310 | TRUE | 0.0847 | TRUE | 0.2200 | TRUE | 2.5500 | FALSE | -0.0364 | TRUE | 2.5250 | 1620000.000 | 1.3136 | 0.8961 | 1749.6000 | 8.4726 | 3.7422 | 3857.1682 | 18.6787 | 8.2501 | 219.2819 | 1.0619 | 0.4690 | NA | NA | NA | NA | cover |
| 2018-02-12 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0930 | 50 | 0.1164 | 468.0 | 189.00 | TRUE | 1.0100 | 1.5600 | 2.570 | FALSE | 1.490 | TRUE | 0.0318 | TRUE | 0.1530 | TRUE | 0.4980 | FALSE | -0.0328 | TRUE | 0.4730 | 983345.300 | 0.7973 | 0.5025 | 460.2056 | 2.5272 | 1.4652 | 1014.5693 | 5.5715 | 3.2301 | 53.2862 | 0.2926 | 0.1697 | NA | NA | NA | NA | cover |
| 2018-02-12 | TRUE | MUR2 | EOF | MUR | FBM | 0.0962 | 50 | 0.1248 | 572.0 | 163.00 | TRUE | 3.3100 | 0.6080 | 3.920 | FALSE | 1.370 | TRUE | 0.0741 | TRUE | 0.1270 | TRUE | 2.6600 | FALSE | -0.0291 | TRUE | 2.6350 | 613716.500 | 0.4976 | 0.3661 | 351.0458 | 2.4058 | 0.8408 | 773.9157 | 5.3038 | 1.8536 | 47.9799 | 0.3288 | 0.1149 | NA | NA | NA | NA | cover |
| 2018-02-12 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0933 | 50 | 0.1135 | 404.0 | 106.00 | TRUE | 0.5250 | 0.9110 | 1.440 | FALSE | 1.040 | TRUE | 0.1240 | TRUE | 0.0319 | TRUE | 0.2110 | FALSE | -0.0326 | TRUE | 0.1860 | 811739.000 | 0.6582 | 0.5527 | 327.9426 | 1.1689 | 0.8442 | 722.9822 | 2.5770 | 1.8611 | 50.5936 | 0.1803 | 0.1302 | NA | NA | NA | NA | cover |
| 2018-02-12 | TRUE | SIM2 | EOF | SIM | FBM | 0.1100 | 50 | 0.1338 | 476.0 | 130.00 | TRUE | 2.2700 | 0.5780 | 2.850 | FALSE | 1.550 | TRUE | 0.0661 | TRUE | 0.0241 | TRUE | 1.7900 | FALSE | -0.0329 | TRUE | 1.7650 | 3432976.000 | 2.7836 | 1.8990 | 1634.0966 | 9.7840 | 5.3211 | 3602.5293 | 21.5698 | 11.7309 | 204.8055 | 1.2263 | 0.6669 | NA | NA | NA | NA | cover |
| 2018-02-13 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0923 | 50 | 0.1084 | 322.0 | 461.00 | TRUE | 1.8360 | 0.8350 | 1.670 | FALSE | 2.330 | TRUE | -0.0475 | TRUE | 0.1040 | TRUE | 0.0730 | FALSE | -0.0322 | TRUE | 0.0480 | 1664368.000 | 1.3495 | 0.8395 | 535.9265 | 2.7795 | 3.8780 | 1181.5036 | 6.1277 | 8.5494 | 61.2495 | 0.3177 | 0.4432 | NA | NA | NA | NA | cover |
| 2018-02-13 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0922 | 20 | 0.2592 | 8350.0 | 9510.00 | TRUE | 7.2000 | -0.2900 | 6.910 | FALSE | 18.500 | TRUE | 0.0657 | TRUE | 0.0899 | TRUE | 0.9080 | FALSE | -0.0303 | TRUE | 0.8830 | 397023.252 | 0.3219 | 0.1055 | 3315.1442 | 2.7434 | 7.3449 | 7308.5668 | 6.0482 | 16.1926 | 199.5786 | 0.1652 | 0.4422 | NA | NA | NA | NA | cover |
| 2018-02-13 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0969 | 50 | 0.1077 | 216.0 | 233.00 | TRUE | 0.8320 | 0.9580 | 1.790 | FALSE | 2.680 | TRUE | 0.0758 | TRUE | 0.4630 | TRUE | 0.0524 | FALSE | -0.0312 | TRUE | 0.0274 | 2064556.000 | 1.6740 | 1.9353 | 445.9441 | 3.6956 | 5.5330 | 983.1284 | 8.1472 | 12.1981 | 94.7137 | 0.7849 | 1.1752 | NA | NA | NA | NA | cover |
| 2018-02-13 | TRUE | SCH2 | EOF | SCH | FBM | 0.0907 | 50 | 0.6513 | 11212.0 | 706.00 | TRUE | 1.5800 | 1.1600 | 2.740 | FALSE | 5.280 | TRUE | -0.1050 | TRUE | 0.7020 | TRUE | 0.2380 | FALSE | -0.0268 | TRUE | 0.2130 | 935819.200 | 0.7588 | 0.9984 | 10492.4049 | 2.5641 | 4.9411 | 23131.5558 | 5.6529 | 10.8932 | 2536.3548 | 0.6198 | 1.1944 | NA | NA | NA | NA | cover |
| 2018-02-15 | FALSE | MUZ1 | EOF | MUZ | CCMT | 0.0913 | 50 | 0.1049 | 272.0 | 351.57 | FALSE | 0.5050 | 0.5670 | 1.070 | FALSE | 0.194 | FALSE | 0.1270 | TRUE | 0.2020 | TRUE | 0.0201 | TRUE | -0.0435 | TRUE | -0.0049 | 45914.370 | 0.0372 | 0.0232 | 12.4887 | 0.0491 | 0.0089 | 27.5326 | 0.1083 | 0.0196 | 1.4273 | 0.0056 | 0.0010 | NA | NA | NA | NA | cover |
| 2018-02-15 | FALSE | PRE1 | EOF | PRE | CCMT | 0.0958 | 50 | 0.1776 | 1636.0 | 2058.10 | FALSE | 0.9440 | 1.3500 | 2.300 | FALSE | 3.610 | FALSE | 0.2150 | TRUE | 0.1700 | TRUE | 0.1870 | TRUE | -0.0327 | TRUE | 0.1620 | 1014118.880 | 0.8223 | 0.2695 | 1659.0985 | 2.3325 | 3.6610 | 3657.6485 | 5.1422 | 8.0710 | 99.8812 | 0.1404 | 0.2204 | NA | NA | NA | NA | cover |
| 2018-02-15 | FALSE | PRE2 | EOF | PRE | FBM | 0.0946 | 50 | 0.1539 | 1186.0 | 1162.30 | FALSE | 1.1900 | 1.2500 | 2.440 | FALSE | 4.930 | FALSE | 0.0250 | TRUE | 0.3250 | TRUE | 0.3340 | TRUE | -0.0394 | TRUE | 0.3090 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-02-15 | FALSE | SCH1 | EOF | SCH | CCMT | 0.1016 | 50 | 0.1033 | 34.0 | 339.12 | FALSE | 0.5830 | 1.4600 | 2.040 | FALSE | 2.130 | FALSE | -0.0001 | TRUE | 0.6510 | TRUE | 0.0359 | TRUE | -0.0477 | TRUE | 0.0109 | 1100470.000 | 0.8923 | 1.0316 | 37.4160 | 2.2450 | 2.3440 | 82.4873 | 4.9492 | 5.1676 | 7.9468 | 0.4768 | 0.4978 | NA | NA | NA | NA | cover |
| 2018-02-15 | FALSE | SIM1 | EOF | SIM | CCMT | 0.0943 | 50 | 0.1024 | 162.0 | 133.98 | FALSE | 0.3510 | 0.7440 | 1.090 | FALSE | 0.050 | FALSE | 0.1830 | TRUE | 0.2620 | TRUE | 0.0035 | TRUE | -0.0456 | TRUE | -0.0215 | 7373.799 | 0.0060 | 0.0050 | 1.1946 | 0.0080 | 0.0004 | 2.6335 | 0.0177 | 0.0008 | 0.1843 | 0.0012 | 0.0001 | NA | NA | NA | NA | cover |
| 2018-02-15 | FALSE | SIM2 | EOF | SIM | FBM | 0.0940 | 50 | 0.1650 | 1420.0 | 3661.00 | FALSE | 1.3600 | 0.9990 | 2.350 | FALSE | 3.080 | FALSE | 0.0007 | TRUE | 0.1280 | TRUE | 0.4120 | TRUE | -0.0390 | TRUE | 0.3870 | 25620.490 | 0.0208 | 0.0142 | 36.3811 | 0.0602 | 0.0789 | 80.2058 | 0.1327 | 0.1740 | 4.5597 | 0.0075 | 0.0099 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | MUR1 | EOF | MUR | CCMT | 0.0930 | 50 | 0.1094 | 328.0 | 645.42 | TRUE | 1.0400 | 1.2900 | 2.330 | TRUE | 1.910 | TRUE | 0.0711 | TRUE | 0.1730 | TRUE | 0.1340 | FALSE | -0.0290 | TRUE | 0.1090 | 52021.280 | 0.0422 | 0.0266 | 17.0630 | 0.1212 | 0.0994 | 37.6170 | 0.2672 | 0.2191 | 1.9757 | 0.0140 | 0.0115 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | MUR2 | EOF | MUR | FBM | 0.0912 | 50 | 0.1081 | 338.0 | 1025.20 | TRUE | 1.5900 | 0.6720 | 2.260 | TRUE | 2.950 | TRUE | -0.0470 | TRUE | 0.1210 | TRUE | 0.4340 | FALSE | -0.0468 | TRUE | 0.4090 | 170555.900 | 0.1383 | 0.1017 | 57.6479 | 0.3855 | 0.5031 | 127.0905 | 0.8498 | 1.1092 | 7.8791 | 0.0527 | 0.0688 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | MUZ1 | EOF | MUZ | CCMT | 0.0935 | 50 | 0.1154 | 438.0 | 333.81 | TRUE | 0.8210 | 1.3700 | 2.190 | TRUE | 3.300 | TRUE | 0.0811 | TRUE | 0.3410 | TRUE | 0.0477 | FALSE | -0.0501 | TRUE | 0.0227 | 133518.800 | 0.1083 | 0.0673 | 58.4812 | 0.2924 | 0.4406 | 128.9277 | 0.6446 | 0.9714 | 6.6837 | 0.0334 | 0.0504 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | PRE1 | EOF | PRE | CCMT | 0.0933 | 50 | 0.1280 | 694.0 | 1452.40 | TRUE | 1.1100 | 1.4600 | 2.570 | TRUE | 3.300 | TRUE | 0.0630 | TRUE | 0.0986 | TRUE | 0.1300 | FALSE | -0.0463 | TRUE | 0.1050 | 874135.206 | 0.7088 | 0.2323 | 606.6498 | 2.2465 | 2.8846 | 1337.4202 | 4.9527 | 6.3595 | 36.5216 | 0.1352 | 0.1737 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | SCH1 | EOF | SCH | CCMT | 0.0936 | 50 | 0.1010 | 148.0 | 229.05 | TRUE | 0.7960 | 1.3900 | 2.150 | TRUE | 2.310 | TRUE | 0.0405 | TRUE | 0.1160 | TRUE | 0.0106 | FALSE | -0.0437 | TRUE | -0.0144 | 47746.010 | 0.0387 | 0.0448 | 7.0664 | 0.1027 | 0.1103 | 15.5786 | 0.2263 | 0.2432 | 1.5008 | 0.0218 | 0.0234 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | SIM1 | EOF | SIM | CCMT | 0.0951 | 50 | 0.1047 | 192.0 | 464.37 | TRUE | 0.5760 | 0.7640 | 1.340 | TRUE | 0.154 | TRUE | 0.0418 | TRUE | 0.0425 | TRUE | 0.0215 | FALSE | -0.0383 | TRUE | -0.0035 | 45139.310 | 0.0366 | 0.0307 | 8.6667 | 0.0605 | 0.0070 | 19.1067 | 0.1333 | 0.0153 | 1.3371 | 0.0093 | 0.0011 | NA | NA | NA | NA | cover |
| 2018-02-19 | FALSE | SIM2 | EOF | SIM | FBM | 0.0930 | 50 | 0.1395 | 930.0 | 914.13 | TRUE | 1.5600 | 0.2480 | 1.810 | TRUE | 1.020 | TRUE | -0.0176 | TRUE | -0.0066 | TRUE | 0.2610 | FALSE | -0.0356 | TRUE | 0.2360 | 109599.000 | 0.0889 | 0.0606 | 101.9271 | 0.1984 | 0.1118 | 224.7084 | 0.4373 | 0.2465 | 12.7748 | 0.0249 | 0.0140 | NA | NA | NA | NA | cover |
| 2018-02-23 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0933 | 50 | 0.1409 | 952.0 | 437.00 | TRUE | 1.0200 | 2.3500 | 3.370 | TRUE | 4.260 | TRUE | 0.0338 | TRUE | 0.1580 | TRUE | 0.0855 | FALSE | -0.0425 | TRUE | 0.0605 | 2758754.000 | 2.2369 | 1.4098 | 2626.3338 | 9.2970 | 11.7523 | 5790.0155 | 20.4962 | 25.9091 | 304.0975 | 1.0765 | 1.3608 | NA | NA | NA | NA | cover |
| 2018-02-23 | TRUE | MUR2 | EOF | MUR | FBM | 0.0953 | 50 | 0.1731 | 1556.0 | 531.00 | TRUE | 1.1200 | 2.4200 | 3.540 | TRUE | 7.810 | TRUE | 0.0328 | TRUE | 0.1860 | TRUE | 0.2480 | FALSE | -0.0397 | TRUE | 0.2230 | 2445556.300 | 1.9830 | 1.4590 | 3805.2856 | 8.6573 | 19.0998 | 8389.1326 | 19.0858 | 42.1074 | 520.0950 | 1.1832 | 2.6105 | NA | NA | NA | NA | cover |
| 2018-02-23 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0938 | 50 | 0.1074 | 272.0 | 82.60 | TRUE | 0.3600 | 0.6620 | 1.020 | TRUE | 1.570 | TRUE | 0.2080 | TRUE | 0.2200 | TRUE | 0.0313 | FALSE | -0.0396 | TRUE | 0.0063 | 1461881.000 | 1.1854 | 0.7374 | 397.6316 | 1.4911 | 2.2952 | 876.6187 | 3.2873 | 5.0599 | 45.4442 | 0.1704 | 0.2623 | NA | NA | NA | NA | cover |
| 2018-02-23 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0920 | 20 | 0.2090 | 5850.0 | 3690.00 | TRUE | 3.6100 | 4.1200 | 7.720 | TRUE | 22.700 | TRUE | 0.0946 | TRUE | 0.2590 | TRUE | 0.4270 | FALSE | -0.0395 | TRUE | 0.4020 | 261916.545 | 0.2124 | 0.0696 | 1532.2118 | 2.0220 | 5.9455 | 3377.9141 | 4.4577 | 13.1075 | 92.2423 | 0.1217 | 0.3579 | NA | NA | NA | NA | cover |
| 2018-02-23 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0925 | 50 | 0.1495 | 1140.0 | 314.00 | TRUE | 0.7680 | 1.1400 | 1.900 | TRUE | 3.300 | TRUE | 0.0343 | TRUE | 0.0659 | TRUE | 0.0606 | FALSE | -0.0343 | TRUE | 0.0356 | 5315815.000 | 4.3103 | 3.6195 | 6060.0291 | 10.1000 | 17.5422 | 13359.9402 | 22.2666 | 38.6735 | 934.9153 | 1.5582 | 2.7063 | NA | NA | NA | NA | cover |
| 2018-02-23 | TRUE | SIM2 | EOF | SIM | FBM | 0.0940 | 50 | 0.1626 | 1372.0 | 491.00 | TRUE | 0.9270 | 1.4900 | 2.410 | TRUE | 4.080 | TRUE | -0.0054 | TRUE | 0.0657 | TRUE | 0.2390 | FALSE | -0.0405 | TRUE | 0.2140 | 2764966.000 | 2.2419 | 1.5295 | 3793.5334 | 6.6636 | 11.2811 | 8363.2236 | 14.6905 | 24.8702 | 475.4533 | 0.8352 | 1.4139 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0921 | 50 | 0.1163 | 484.0 | 721.00 | TRUE | 0.9960 | 0.9010 | 1.900 | TRUE | 3.130 | TRUE | 0.3140 | TRUE | 0.8580 | TRUE | 0.0179 | FALSE | -0.0385 | TRUE | -0.0071 | 1136247.000 | 0.9213 | 0.5807 | 549.9435 | 2.1589 | 3.5565 | 1212.4055 | 4.7594 | 7.8406 | 63.6768 | 0.2500 | 0.4118 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | MUR2 | EOF | MUR | FBM | 0.0924 | 20 | 0.1315 | 1955.0 | 261.00 | TRUE | 3.6700 | 1.2800 | 4.960 | TRUE | 7.830 | TRUE | 0.0732 | TRUE | 0.3010 | TRUE | 0.4220 | FALSE | -0.0464 | TRUE | 0.3970 | 2701281.300 | 2.1903 | 1.6115 | 5281.0049 | 13.3984 | 21.1510 | 11642.5035 | 29.5380 | 46.6296 | 721.7919 | 1.8312 | 2.8909 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0918 | 50 | 0.1057 | 278.0 | 336.00 | TRUE | 0.5780 | 0.9310 | 1.510 | TRUE | 2.210 | TRUE | 0.0134 | TRUE | 0.2530 | TRUE | 0.0081 | FALSE | -0.0495 | TRUE | -0.0169 | 2113107.000 | 1.7134 | 1.0659 | 587.4437 | 3.1908 | 4.6700 | 1295.0785 | 7.0344 | 10.2954 | 67.1373 | 0.3647 | 0.5337 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0934 | 20 | 0.2575 | 8205.0 | 9900.00 | TRUE | 5.6000 | 4.5000 | 10.500 | TRUE | 21.100 | TRUE | 0.0287 | TRUE | 0.1960 | TRUE | 0.1370 | FALSE | -0.0386 | TRUE | 0.1120 | 1943598.840 | 1.5759 | 0.5164 | 15947.2285 | 20.4078 | 41.0099 | 35157.2599 | 44.9910 | 90.4105 | 960.0563 | 1.2286 | 2.4689 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0936 | 50 | 0.1191 | 510.0 | 639.00 | TRUE | 0.9830 | 0.9200 | 1.900 | TRUE | 3.550 | TRUE | 0.0133 | TRUE | 0.5070 | TRUE | 0.0318 | FALSE | -0.0322 | TRUE | 0.0068 | 699338.700 | 0.5671 | 0.6556 | 356.6627 | 1.3287 | 2.4827 | 786.2987 | 2.9293 | 5.4733 | 75.7513 | 0.2822 | 0.5273 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | SCH2 | EOF | SCH | FBM | 0.0936 | 20 | 0.1083 | 735.0 | 822.00 | TRUE | 1.2900 | 2.2500 | 3.530 | TRUE | 4.670 | TRUE | 0.0207 | TRUE | 1.2800 | TRUE | 0.0035 | FALSE | -0.0384 | TRUE | -0.0215 | 232237.000 | 0.1883 | 0.2478 | 170.6942 | 0.8198 | 1.0845 | 376.3124 | 1.8073 | 2.3910 | 41.2623 | 0.1982 | 0.2622 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0921 | 20 | 0.1047 | 630.0 | 1020.00 | TRUE | 1.1100 | 0.4140 | 1.530 | TRUE | 2.190 | TRUE | 0.0659 | TRUE | 0.0434 | TRUE | 0.0667 | FALSE | -0.0471 | TRUE | 0.0417 | 1605864.000 | 1.3021 | 1.0934 | 1011.6943 | 2.4570 | 3.5168 | 2230.3813 | 5.4166 | 7.7532 | 156.0799 | 0.3791 | 0.5426 | NA | NA | NA | NA | cover |
| 2018-02-26 | TRUE | SIM2 | EOF | SIM | FBM | 0.0937 | 20 | 0.1305 | 1840.0 | 2450.00 | TRUE | 2.7900 | 3.1900 | 5.980 | TRUE | 4.730 | TRUE | 0.0142 | TRUE | 0.1320 | TRUE | 0.3360 | FALSE | -0.0321 | TRUE | 0.3110 | 767818.700 | 0.6226 | 0.4247 | 1412.7864 | 4.5916 | 3.6318 | 3114.6289 | 10.1225 | 8.0066 | 177.0682 | 0.5755 | 0.4552 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0898 | 20 | 0.1993 | 5475.0 | 8940.00 | TRUE | 8.4500 | 3.3400 | 11.800 | TRUE | 19.000 | TRUE | 0.0814 | TRUE | 0.2460 | TRUE | 0.1940 | FALSE | -0.0299 | TRUE | 0.1690 | 5068846.000 | 4.1100 | 2.5904 | 27751.9319 | 59.8124 | 96.3081 | 61181.9090 | 131.8624 | 212.3208 | 3213.3356 | 6.9255 | 11.1513 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | MUR2 | EOF | MUR | FBM | 0.0916 | 20 | 0.1593 | 3385.0 | 4990.00 | TRUE | 5.0400 | 2.6900 | 7.730 | TRUE | 11.400 | TRUE | 0.0504 | TRUE | 0.2670 | TRUE | 0.1370 | FALSE | -0.0520 | TRUE | 0.1120 | 4615494.000 | 3.7424 | 2.7535 | 15623.4472 | 35.6778 | 52.6166 | 34443.4517 | 78.6552 | 115.9986 | 2135.3659 | 4.8763 | 7.1915 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0921 | 50 | 0.1024 | 206.0 | 173.00 | TRUE | 0.4630 | 0.3180 | 0.781 | TRUE | 1.570 | TRUE | 0.1220 | TRUE | 0.2900 | TRUE | 0.0170 | FALSE | -0.0357 | TRUE | -0.0080 | 1562793.000 | 1.2672 | 0.7883 | 321.9354 | 1.2205 | 2.4536 | 709.7387 | 2.6908 | 5.4092 | 36.7931 | 0.1395 | 0.2804 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0913 | 50 | 0.1130 | 434.0 | 798.00 | TRUE | 0.8650 | 0.8280 | 1.690 | TRUE | 2.880 | TRUE | 0.0383 | TRUE | 0.1750 | TRUE | 0.0376 | FALSE | -0.0465 | TRUE | 0.0126 | 1274457.000 | 1.0334 | 0.6955 | 553.1143 | 2.1538 | 3.6704 | 1219.3959 | 4.7483 | 8.0918 | 68.3901 | 0.2663 | 0.4538 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0936 | 50 | 0.1069 | 266.0 | 299.00 | TRUE | 0.5970 | 0.4940 | 1.090 | TRUE | 1.600 | TRUE | 0.0538 | TRUE | 0.1980 | TRUE | 0.0232 | FALSE | -0.0488 | TRUE | -0.0018 | 705641.523 | 0.5722 | 0.1875 | 187.7006 | 0.7691 | 1.1290 | 413.8048 | 1.6957 | 2.4891 | 11.3000 | 0.0463 | 0.0680 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | PRE2 | EOF | PRE | FBM | 0.0916 | 50 | 0.1381 | 930.0 | 1430.00 | TRUE | 1.7600 | 1.2800 | 3.040 | TRUE | 4.280 | TRUE | 0.0215 | TRUE | 0.2550 | TRUE | 0.0854 | FALSE | -0.0453 | TRUE | 0.0604 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0924 | 50 | 0.1096 | 344.0 | 441.00 | TRUE | 0.8330 | 1.0100 | 1.840 | TRUE | 3.030 | TRUE | 0.0533 | TRUE | 0.4840 | TRUE | 0.0182 | FALSE | -0.0419 | TRUE | -0.0068 | 2527468.000 | 2.0494 | 2.3692 | 869.4490 | 4.6505 | 7.6582 | 1916.7872 | 10.2526 | 16.8833 | 184.6616 | 0.9877 | 1.6265 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | SCH2 | EOF | SCH | FBM | 0.0916 | 50 | 0.1578 | 1324.0 | 1320.00 | TRUE | 1.9100 | 2.1200 | 4.020 | TRUE | 5.440 | TRUE | 0.2000 | TRUE | 0.9260 | TRUE | 0.0111 | FALSE | -0.0391 | TRUE | -0.0139 | 1594111.000 | 1.2926 | 1.7008 | 2110.6030 | 6.4083 | 8.6720 | 4653.0353 | 14.1278 | 19.1182 | 510.2012 | 1.5491 | 2.0963 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0913 | 50 | 0.0962 | 98.0 | 130.00 | TRUE | 0.4200 | 0.1920 | 0.612 | TRUE | 0.529 | TRUE | 0.1090 | TRUE | 0.0430 | TRUE | 0.0110 | FALSE | -0.0459 | TRUE | -0.0140 | 1174994.000 | 0.9527 | 0.8001 | 115.1494 | 0.7191 | 0.6216 | 253.8584 | 1.5853 | 1.3703 | 17.7648 | 0.1109 | 0.0959 | NA | NA | NA | NA | cover |
| 2018-03-02 | TRUE | SIM2 | EOF | SIM | FBM | 0.0913 | 50 | 0.1606 | 1386.0 | 7540.00 | TRUE | 6.4000 | 2.9300 | 9.330 | TRUE | 10.200 | TRUE | 0.0945 | TRUE | 0.2010 | TRUE | 0.2380 | FALSE | -0.0352 | TRUE | 0.2130 | 210527.800 | 0.1707 | 0.1165 | 291.7915 | 1.9642 | 2.1474 | 643.2836 | 4.3303 | 4.7341 | 36.5710 | 0.2462 | 0.2691 | NA | NA | NA | NA | cover |
| 2018-03-06 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0940 | 20 | 0.1237 | 1485.0 | 1470.00 | TRUE | 1.9700 | 3.5700 | 5.540 | FALSE | 6.320 | TRUE | 0.0149 | FALSE | 0.1000 | TRUE | 0.0521 | TRUE | -0.0383 | FALSE | 0.0271 | 50584.000 | 0.0410 | 0.0255 | 75.1172 | 0.2802 | 0.3197 | 165.6035 | 0.6178 | 0.7048 | 8.5849 | 0.0320 | 0.0365 | NA | NA | NA | NA | cover |
| 2018-03-06 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0929 | 20 | 0.1307 | 1890.0 | 3000.00 | TRUE | 3.0400 | 3.8400 | 6.880 | FALSE | 8.260 | TRUE | 0.0147 | FALSE | 0.0483 | TRUE | 0.0274 | TRUE | -0.0419 | FALSE | 0.0024 | 488459.000 | 0.3961 | 0.2666 | 923.1875 | 3.3606 | 4.0347 | 2035.2592 | 7.4088 | 8.8948 | 114.1480 | 0.4155 | 0.4989 | NA | NA | NA | NA | cover |
| 2018-03-06 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0900 | 20 | 0.1632 | 3660.0 | 6300.00 | TRUE | 5.4700 | 4.0700 | 9.540 | FALSE | 11.600 | TRUE | 0.0027 | FALSE | 0.0465 | TRUE | 0.0817 | TRUE | -0.0478 | FALSE | 0.0567 | 27692.490 | 0.0225 | 0.0074 | 101.3545 | 0.2642 | 0.3212 | 223.4462 | 0.5824 | 0.7082 | 6.1018 | 0.0159 | 0.0193 | NA | NA | NA | NA | cover |
| 2018-03-06 | TRUE | PRE2 | EOF | PRE | FBM | 0.0915 | 20 | 0.1771 | 4280.0 | 8210.00 | TRUE | 6.0600 | 5.8800 | 11.900 | FALSE | 14.500 | TRUE | 0.0898 | FALSE | 0.0711 | TRUE | 0.1010 | TRUE | -0.0510 | FALSE | 0.0760 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-06 | TRUE | SIM2 | EOF | SIM | FBM | 0.0916 | 20 | 0.1376 | 2300.0 | 3880.00 | TRUE | 3.8000 | 1.8500 | 5.650 | FALSE | 5.740 | TRUE | 0.0519 | FALSE | 0.0094 | TRUE | 0.0936 | TRUE | -0.0414 | FALSE | 0.0686 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-12 | TRUE | MUR2 | EOF | MUR | FBM | 0.0925 | 20 | 0.1345 | 2100.0 | 1500.00 | TRUE | 2.8300 | 3.0000 | 5.830 | TRUE | 6.430 | TRUE | 0.0918 | FALSE | 0.1040 | TRUE | 0.3590 | TRUE | -0.0315 | FALSE | 0.3340 | 814373.570 | 0.6603 | 0.4858 | 1710.1845 | 4.7478 | 5.2364 | 3770.2727 | 10.4670 | 11.5442 | 233.7429 | 0.6489 | 0.7157 | NA | NA | NA | NA | cover |
| 2018-03-12 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0912 | 20 | 0.1948 | 5180.0 | 3160.00 | TRUE | 3.1900 | 13.1000 | 16.300 | TRUE | 18.100 | TRUE | 0.0747 | FALSE | 0.0894 | TRUE | 0.0878 | TRUE | -0.0448 | FALSE | 0.0628 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-12 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0949 | 50 | 0.1124 | 350.0 | 115.00 | TRUE | 0.3890 | 1.4400 | 1.830 | TRUE | 1.890 | TRUE | 0.1100 | FALSE | 0.0433 | TRUE | 0.0654 | TRUE | -0.0475 | FALSE | 0.0404 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-12 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0925 | 20 | 0.1782 | 4285.0 | 2100.00 | TRUE | 1.8100 | 2.8200 | 4.630 | TRUE | 4.630 | TRUE | 0.0348 | FALSE | 0.0228 | TRUE | 0.1490 | TRUE | -0.0522 | FALSE | 0.1240 | 577852.400 | 0.4685 | 0.3935 | 2476.0975 | 2.6755 | 2.6755 | 5458.8046 | 5.8983 | 5.8983 | 382.0017 | 0.4128 | 0.4128 | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0938 | 50 | 0.0966 | 56.0 | 64.20 | TRUE | 1.8900 | 56.4000 | 58.300 | TRUE | 1.060 | TRUE | 2.8600 | FALSE | -0.0108 | TRUE | 0.0687 | FALSE | -0.0576 | FALSE | 0.0437 | 3082688.000 | 2.4996 | 1.5754 | 172.6305 | 179.7207 | 3.2676 | 380.5813 | 396.2123 | 7.2039 | 19.9885 | 20.8095 | 0.3784 | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | MUR2 | EOF | MUR | FBM | 0.0928 | 20 | 0.2694 | 8830.0 | 6000.00 | TRUE | 7.9500 | 20.6000 | 28.600 | TRUE | 19.000 | TRUE | 1.2900 | FALSE | 0.0040 | TRUE | 1.9000 | FALSE | -0.0495 | FALSE | 1.8750 | 1407768.000 | 1.1415 | 0.8398 | 12430.5914 | 40.2622 | 26.7476 | 27404.4819 | 88.7620 | 58.9677 | 1698.9759 | 5.5029 | 3.6558 | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0933 | 20 | 0.1590 | 3285.0 | 7250.00 | TRUE | 7.2100 | 3.1500 | 10.400 | TRUE | 16.100 | TRUE | 0.2830 | FALSE | 0.0464 | TRUE | 0.7890 | FALSE | -0.0629 | FALSE | 0.7640 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | PRE2 | EOF | PRE | FBM | 0.0936 | 20 | 0.1426 | 2450.0 | 4580.00 | TRUE | 5.8400 | 1.0400 | 6.880 | TRUE | 11.400 | TRUE | 0.3830 | FALSE | 0.0610 | TRUE | 1.0300 | FALSE | -0.0623 | FALSE | 1.0050 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0920 | 50 | 0.0960 | 80.0 | 72.70 | TRUE | 0.5940 | 0.6800 | 1.270 | TRUE | 1.530 | TRUE | 0.2140 | FALSE | 0.0823 | TRUE | 0.1100 | FALSE | -0.0583 | FALSE | 0.0850 | 457618.000 | 0.3711 | 0.4290 | 36.6094 | 0.5812 | 0.7002 | 80.7092 | 1.2813 | 1.5436 | 7.7755 | 0.1234 | 0.1487 | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | SCH2 | EOF | SCH | FBM | 0.0937 | 50 | 0.0993 | 112.0 | 143.00 | TRUE | 0.8850 | 0.6780 | 1.560 | TRUE | 3.040 | TRUE | 0.0750 | FALSE | 0.2370 | TRUE | 0.2300 | FALSE | -0.0593 | FALSE | 0.2050 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0928 | 20 | 0.1353 | 2125.0 | 3600.00 | TRUE | 3.8000 | -0.0850 | 3.720 | TRUE | 5.030 | TRUE | 0.2950 | FALSE | 0.0090 | TRUE | 0.0081 | FALSE | -0.0631 | FALSE | -0.0169 | 68542.630 | 0.0556 | 0.0467 | 145.6531 | 0.2550 | 0.3448 | 321.1068 | 0.5621 | 0.7601 | 22.4707 | 0.0393 | 0.0532 | NA | NA | NA | NA | cover |
| 2018-03-29 | TRUE | SIM2 | EOF | SIM | FBM | 0.0933 | 50 | 0.1143 | 420.0 | 785.00 | TRUE | 3.4800 | -0.2210 | 3.260 | TRUE | 1.460 | TRUE | 0.0641 | FALSE | -0.0060 | TRUE | 1.9900 | FALSE | -0.0600 | FALSE | 1.9650 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-04-17 | TRUE | MUR2 | EOF | MUR | FBM | 0.0937 | 20 | 0.1090 | 765.0 | 2231.30 | TRUE | 5.3600 | 0.9080 | 6.270 | TRUE | 2.060 | TRUE | 0.7960 | FALSE | 0.0620 | TRUE | 2.2800 | FALSE | 0.0358 | FALSE | 2.2550 | 4773919.000 | 3.8709 | 2.8480 | 3652.0480 | 29.9325 | 9.8343 | 8051.3051 | 65.9891 | 21.6806 | 499.1510 | 4.0911 | 1.3441 | NA | NA | NA | NA | cover |
| 2018-04-17 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0934 | 20 | 0.0995 | 305.0 | 946.54 | TRUE | 1.0100 | 1.3700 | 2.380 | TRUE | 0.239 | TRUE | 0.1940 | FALSE | 0.0802 | TRUE | 0.0431 | FALSE | -0.0601 | FALSE | 0.0181 | 1016568.000 | 0.8243 | 0.5548 | 310.0532 | 2.4194 | 0.2430 | 683.5434 | 5.3339 | 0.5356 | 38.3367 | 0.2992 | 0.0300 | NA | NA | NA | NA | cover |
| 2018-04-17 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0884 | 50 | 0.0955 | 142.0 | 146.21 | TRUE | 0.6070 | 0.9980 | 1.600 | TRUE | 1.080 | TRUE | 0.2470 | FALSE | 0.0671 | TRUE | 0.1090 | FALSE | -0.0588 | FALSE | 0.0840 | 1346638.000 | 1.0919 | 1.2623 | 191.2226 | 2.1546 | 1.4544 | 421.5693 | 4.7501 | 3.2063 | 40.6136 | 0.4576 | 0.3089 | NA | NA | NA | NA | cover |
| 2018-04-17 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0934 | 50 | 0.0985 | 102.0 | 496.60 | TRUE | 4.1600 | 3.4500 | 7.620 | TRUE | 2.700 | TRUE | 2.5100 | FALSE | 0.1800 | TRUE | 3.1400 | FALSE | 0.0209 | FALSE | 3.1150 | 552394.000 | 0.4479 | 0.3761 | 56.3442 | 4.2092 | 1.4915 | 124.2164 | 9.2797 | 3.2881 | 8.6925 | 0.6494 | 0.2301 | NA | NA | NA | NA | cover |
| 2018-04-24 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0920 | 20 | 0.1311 | 1955.0 | 570.00 | FALSE | 10.4000 | 6.5800 | 17.000 | TRUE | 4.350 | TRUE | 0.8190 | FALSE | -0.0167 | TRUE | 7.1800 | FALSE | 0.0083 | FALSE | 7.1550 | 8718.000 | 0.0071 | 0.0038 | 17.0437 | 0.1482 | 0.0379 | 37.5745 | 0.3267 | 0.0836 | 1.6804 | 0.0146 | 0.0037 | NA | NA | NA | NA | cover |
| 2018-04-24 | TRUE | CAR2 | EOF | CAR | FBM | 0.0919 | 20 | 0.1677 | 3790.0 | 1846.00 | FALSE | 10.9000 | 5.2400 | 16.100 | TRUE | 7.340 | TRUE | 1.0700 | FALSE | 0.0566 | TRUE | 4.8000 | FALSE | -0.0558 | FALSE | 4.7750 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2018-04-24 | TRUE | MUR2 | EOF | MUR | FBM | 0.0927 | 20 | 0.1257 | 1650.0 | 1470.00 | FALSE | 4.3600 | 0.0270 | 4.380 | TRUE | 3.710 | TRUE | 0.3840 | FALSE | 0.1060 | TRUE | 0.7340 | FALSE | -0.0340 | FALSE | 0.7090 | 52693.210 | 0.0427 | 0.0314 | 86.9438 | 0.2308 | 0.1955 | 191.6763 | 0.5088 | 0.4310 | 11.8832 | 0.0315 | 0.0267 | NA | NA | NA | NA | cover |
| 2018-04-24 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0926 | 50 | 0.1255 | 658.0 | 810.00 | FALSE | 1.6800 | 1.7600 | 3.430 | TRUE | 0.525 | TRUE | 0.2190 | FALSE | 0.0657 | TRUE | 0.5130 | FALSE | -0.0500 | FALSE | 0.4880 | 19762.000 | 0.0160 | 0.0108 | 13.0034 | 0.0678 | 0.0104 | 28.6673 | 0.1494 | 0.0229 | 1.6078 | 0.0084 | 0.0013 | NA | NA | NA | NA | cover |
| 2018-04-24 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0899 | 50 | 0.0945 | 92.0 | 201.00 | FALSE | 0.8830 | 1.4300 | 2.320 | TRUE | 0.129 | TRUE | 0.3970 | FALSE | 0.0990 | TRUE | 0.1130 | FALSE | -0.0529 | FALSE | 0.0880 | 24596.000 | 0.0199 | 0.0231 | 2.2628 | 0.0571 | 0.0032 | 4.9886 | 0.1258 | 0.0070 | 0.4806 | 0.0121 | 0.0007 | NA | NA | NA | NA | cover |
| 2018-04-24 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0912 | 50 | 0.1124 | 424.0 | 869.00 | FALSE | 11.0000 | 2.2600 | 13.300 | TRUE | 2.260 | TRUE | 1.9500 | FALSE | 0.0522 | TRUE | 7.8600 | FALSE | 0.1040 | FALSE | 7.7560 | 77616.000 | 0.0629 | 0.0528 | 32.9092 | 1.0323 | 0.1754 | 72.5516 | 2.2758 | 0.3867 | 5.0771 | 0.1593 | 0.0271 | NA | NA | NA | NA | cover |
| 2018-05-18 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0941 | 20 | 0.1649 | 3540.0 | 2560.00 | TRUE | 24.1000 | 8.7000 | 32.800 | TRUE | 10.000 | TRUE | 4.0900 | TRUE | 0.0691 | FALSE | 10.3000 | TRUE | 0.2040 | TRUE | 10.0960 | 184232.000 | 0.1494 | 0.0802 | 652.1813 | 6.0428 | 1.8423 | 1437.7988 | 13.3220 | 4.0616 | 64.3023 | 0.5958 | 0.1816 | NA | NA | NA | NA | cash |
| 2018-05-18 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0928 | 20 | 0.2381 | 7265.0 | 8900.00 | TRUE | 7.8400 | 4.1500 | 12.000 | TRUE | 18.500 | TRUE | 0.7170 | TRUE | 0.0506 | FALSE | 2.2200 | TRUE | -0.5100 | TRUE | 2.1950 | 2714047.000 | 2.2007 | 0.7211 | 19717.5515 | 32.5686 | 50.2099 | 43469.3139 | 71.8007 | 110.6927 | 1187.0375 | 1.9607 | 3.0227 | NA | NA | NA | NA | cash |
| 2018-05-18 | TRUE | PRE2 | EOF | PRE | FBM | 0.0928 | 20 | 0.2434 | 7530.0 | 10340.00 | TRUE | 8.8800 | 3.1000 | 12.000 | TRUE | 20.600 | TRUE | 0.2400 | TRUE | 0.0769 | FALSE | 1.2300 | TRUE | -0.5130 | TRUE | 1.2050 | 3323537.000 | 2.6949 | 0.8654 | 25026.2336 | 39.8824 | 68.4649 | 55172.8346 | 87.9248 | 150.9376 | 1476.3938 | 2.3528 | 4.0390 | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | MUR2 | EOF | MUR | FBM | 0.0913 | 20 | 0.1652 | 3695.0 | 5650.00 | FALSE | 9.8000 | 9.5300 | 19.300 | FALSE | 13.800 | TRUE | 2.7200 | TRUE | 0.0688 | FALSE | 5.7600 | TRUE | -0.4330 | TRUE | 5.7350 | 4679.781 | 0.0038 | 0.0028 | 17.2918 | 0.0903 | 0.0646 | 38.1215 | 0.1991 | 0.1424 | 2.3634 | 0.0123 | 0.0088 | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0960 | 20 | 0.1427 | 2335.0 | 2050.00 | FALSE | 3.2300 | 3.2400 | 6.460 | FALSE | 2.720 | TRUE | 0.2790 | TRUE | 0.0924 | FALSE | 1.5000 | TRUE | -0.5020 | TRUE | 1.4750 | 513706.000 | 0.4165 | 0.2591 | 1199.5035 | 3.3185 | 1.3973 | 2644.4254 | 7.3161 | 3.0804 | 137.0879 | 0.3793 | 0.1597 | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0959 | 20 | 0.1426 | 2335.0 | 2780.00 | FALSE | 3.1500 | 3.3800 | 6.530 | FALSE | 7.680 | TRUE | 0.1340 | TRUE | 0.0764 | FALSE | 1.3200 | TRUE | 0.0250 | TRUE | 1.2950 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0934 | 20 | 0.2177 | 6215.0 | 708.00 | FALSE | 7.4700 | 1.4400 | 8.910 | FALSE | 11.600 | TRUE | 0.3350 | TRUE | 0.0854 | FALSE | 2.1600 | TRUE | -0.5080 | TRUE | 2.1350 | 1959087.000 | 1.5885 | 0.5205 | 12175.7257 | 17.4555 | 22.7254 | 26842.6049 | 38.4823 | 50.1004 | 733.0040 | 1.0509 | 1.3681 | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | PRE2 | EOF | PRE | FBM | 0.0921 | 20 | 0.1448 | 2635.0 | 6320.00 | FALSE | 6.8400 | 1.6800 | 8.520 | FALSE | 9.800 | TRUE | 0.2330 | TRUE | 0.0870 | FALSE | 2.1000 | TRUE | -0.5000 | TRUE | 2.0750 | 3433679.000 | 2.7842 | 0.8940 | 9047.7442 | 29.2549 | 33.6501 | 19946.6568 | 64.4955 | 74.1849 | 533.7612 | 1.7259 | 1.9851 | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0918 | 50 | 0.1164 | 492.0 | 700.00 | FALSE | 1.9000 | 2.1900 | 4.080 | FALSE | 5.070 | TRUE | 0.6010 | TRUE | 0.4630 | FALSE | 0.2480 | TRUE | -0.5150 | TRUE | 0.2230 | 477598.100 | 0.3873 | 0.4477 | 234.9783 | 1.9486 | 2.4214 | 518.0331 | 4.2959 | 5.3383 | 49.9068 | 0.4139 | 0.5143 | NA | NA | NA | NA | cash |
| 2018-05-23 | TRUE | SCH2 | EOF | SCH | FBM | 0.0942 | 50 | 0.1175 | 466.0 | 563.00 | FALSE | 4.2900 | 1.1100 | 5.400 | FALSE | 4.380 | TRUE | 2.7100 | TRUE | 0.3030 | FALSE | 4.5700 | TRUE | -0.5140 | TRUE | 4.5450 | 433455.000 | 0.3515 | 0.4625 | 201.9900 | 2.3407 | 1.8985 | 445.3072 | 5.1602 | 4.1855 | 48.8275 | 0.5658 | 0.4589 | NA | NA | NA | NA | cash |
| 2018-05-30 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0924 | 30 | 0.2392 | 4893.3 | 3330.00 | TRUE | 5.1300 | 2.1300 | 7.260 | TRUE | 49.500 | TRUE | 3.4500 | TRUE | 0.1240 | TRUE | 6.8100 | FALSE | -0.0377 | TRUE | 6.7850 | 401364.000 | 0.3254 | 0.1747 | 1964.0078 | 2.9139 | 19.8675 | 4329.8517 | 6.4240 | 43.7999 | 193.6427 | 0.2873 | 1.9589 | NA | NA | NA | NA | cash |
| 2018-05-30 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0935 | 30 | 0.0961 | 86.7 | 135.00 | TRUE | 0.8340 | -0.5410 | 0.292 | TRUE | 1.440 | TRUE | 0.1400 | TRUE | 0.1250 | TRUE | 0.1630 | FALSE | -0.0761 | TRUE | 0.1380 | 390191.000 | 0.3164 | 0.1968 | 33.8166 | 0.1139 | 0.5619 | 74.5520 | 0.2512 | 1.2387 | 3.8648 | 0.0130 | 0.0642 | NA | NA | NA | NA | cash |
| 2018-05-30 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0906 | 30 | 0.0937 | 103.3 | 188.00 | TRUE | 0.7770 | -0.5970 | 0.181 | TRUE | 1.950 | TRUE | 0.2460 | TRUE | 0.1310 | TRUE | 0.3820 | FALSE | -0.0718 | TRUE | 0.3570 | 702216.000 | 0.5694 | 0.3832 | 72.5623 | 0.1271 | 1.3693 | 159.9709 | 0.2802 | 3.0188 | 8.9720 | 0.0157 | 0.1693 | NA | NA | NA | NA | cash |
| 2018-05-30 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0903 | 30 | 0.2538 | 5450.0 | 6450.00 | TRUE | 6.3500 | 5.6900 | 12.000 | TRUE | 18.900 | TRUE | 0.1080 | TRUE | 0.0594 | TRUE | 0.3500 | FALSE | -0.0689 | TRUE | 0.3250 | 3484434.000 | 2.8253 | 0.9258 | 18990.1653 | 41.8132 | 65.8558 | 41865.7184 | 92.1814 | 145.1857 | 1143.2474 | 2.5172 | 3.9647 | NA | NA | NA | NA | cash |
| 2018-05-30 | TRUE | PRE2 | EOF | PRE | FBM | 0.0941 | 30 | 0.2278 | 4456.7 | 7880.00 | TRUE | 6.5000 | 6.1400 | 12.600 | TRUE | 16.400 | TRUE | 0.1700 | TRUE | 0.1140 | TRUE | 1.2700 | FALSE | -0.0637 | TRUE | 1.2450 | 3945699.000 | 3.1993 | 1.0273 | 17584.6652 | 49.7158 | 64.7095 | 38767.1529 | 109.6035 | 142.6585 | 1037.3870 | 2.9329 | 3.8175 | NA | NA | NA | NA | cash |
| 2018-06-05 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0945 | 30 | 0.1078 | 443.3 | 472.00 | TRUE | 0.7230 | 0.8340 | 1.560 | FALSE | 2.530 | TRUE | 0.1260 | TRUE | 0.1100 | TRUE | 0.0035 | FALSE | -0.0743 | TRUE | -0.0215 | 171305.000 | 0.1389 | 0.0935 | 75.9452 | 0.2672 | 0.4334 | 167.4288 | 0.5891 | 0.9555 | 9.3903 | 0.0330 | 0.0536 | NA | NA | NA | NA | cash |
| 2018-06-14 | FALSE | MUR2 | EOF | MUR | FBM | 0.0894 | 30 | 0.1357 | 1543.3 | 620.00 | TRUE | 25.2000 | 27.7000 | 52.900 | TRUE | 44.500 | FALSE | 0.6080 | TRUE | 0.0799 | TRUE | 6.0200 | FALSE | 0.1200 | TRUE | 5.9000 | 3207197.000 | 2.6005 | 1.9133 | 4949.7740 | 169.6607 | 142.7203 | 10912.2718 | 374.0340 | 314.6411 | 676.5203 | 23.1887 | 19.5066 | NA | NA | NA | NA | cash |
| 2018-06-14 | FALSE | PRE1 | EOF | PRE | CCMT | 0.0976 | 30 | 0.1916 | 3133.3 | 3000.00 | TRUE | 4.7700 | 3.8500 | 8.620 | TRUE | 2.590 | FALSE | 0.3610 | TRUE | 0.5100 | TRUE | 1.6000 | FALSE | -0.0520 | TRUE | 1.5750 | 7110.000 | 0.0058 | 0.0019 | 22.2780 | 0.0613 | 0.0184 | 49.1141 | 0.1351 | 0.0406 | 1.3412 | 0.0037 | 0.0011 | NA | NA | NA | NA | cash |
| 2018-06-14 | FALSE | SIM1 | EOF | SIM | CCMT | 0.0915 | 30 | 1.0131 | 30720.0 | 22000.00 | TRUE | 7.8100 | 7.4400 | 15.300 | TRUE | 6.910 | FALSE | 3.0600 | TRUE | 0.0624 | TRUE | 2.1200 | FALSE | 0.0116 | TRUE | 2.0950 | 141283.000 | 0.1146 | 0.0962 | 4340.2138 | 2.1616 | 0.9763 | 9568.4353 | 4.7655 | 2.1523 | 669.5896 | 0.3335 | 0.1506 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | CAR1 | EOF | CAR | CCMT | 0.2479 | 50 | 0.2684 | 410.0 | 497.00 | FALSE | 4.2900 | 1.6300 | 5.910 | TRUE | 3.570 | TRUE | 0.8990 | TRUE | 0.2780 | TRUE | 0.5650 | FALSE | 0.6400 | TRUE | -0.0750 | 1113947.000 | 0.9032 | 0.4847 | 456.7183 | 6.5834 | 3.9768 | 1006.8811 | 14.5138 | 8.7672 | 45.0305 | 0.6491 | 0.3921 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | MUR2 | EOF | MUR | FBM | 0.2486 | 20 | 0.3022 | 2680.0 | 2180.00 | FALSE | 7.6900 | 3.2900 | 11.000 | TRUE | 8.970 | TRUE | 0.2780 | TRUE | 0.1400 | TRUE | 1.0300 | FALSE | 0.4660 | TRUE | 0.5640 | 7188283.000 | 5.8286 | 4.2883 | 19264.5984 | 79.0711 | 64.4789 | 42470.7337 | 174.3202 | 142.1502 | 2633.0275 | 10.8072 | 8.8128 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.2517 | 20 | 0.3208 | 3455.0 | 2320.00 | FALSE | 5.1200 | 2.2400 | 7.360 | TRUE | 10.700 | TRUE | 0.1740 | TRUE | 0.1340 | TRUE | 0.0268 | FALSE | 0.0202 | TRUE | 0.0018 | 1239224.000 | 1.0048 | 0.6251 | 4281.5189 | 9.1207 | 13.2597 | 9439.0366 | 20.1075 | 29.2323 | 489.3228 | 1.0424 | 1.5154 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.2486 | 50 | 0.2812 | 652.0 | 586.00 | FALSE | 1.6000 | 0.3250 | 1.920 | TRUE | 2.940 | TRUE | 0.0306 | TRUE | 0.0919 | TRUE | 0.0035 | FALSE | 0.0236 | TRUE | -0.0215 | 388013.000 | 0.3146 | 0.2117 | 252.9845 | 0.7450 | 1.1408 | 557.7296 | 1.6424 | 2.5149 | 31.2804 | 0.0921 | 0.1410 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | PRE2 | EOF | PRE | FBM | 0.2462 | 20 | 0.3562 | 5500.0 | 5660.00 | FALSE | 7.6900 | 0.3550 | 8.040 | TRUE | 12.800 | TRUE | 0.0554 | TRUE | 0.2540 | TRUE | 0.0035 | FALSE | 0.0137 | TRUE | -0.0215 | 1996400.000 | 1.6188 | 0.5198 | 10980.2000 | 16.0511 | 25.5539 | 24206.9489 | 35.3862 | 56.3362 | 647.7642 | 0.9469 | 1.5075 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | SCH1 | EOF | SCH | CCMT | 0.2472 | 50 | 0.2777 | 610.0 | 481.00 | FALSE | 2.2300 | 1.3900 | 3.620 | TRUE | 3.600 | TRUE | 0.0835 | TRUE | 0.2970 | TRUE | 0.0233 | FALSE | 0.0226 | TRUE | -0.0017 | 1027122.000 | 0.8328 | 0.9628 | 626.5444 | 3.7182 | 3.6976 | 1381.2798 | 8.1971 | 8.1518 | 133.0713 | 0.7897 | 0.7853 | NA | NA | NA | NA | cash |
| 2018-06-25 | TRUE | SIM1 | EOF | SIM | CCMT | 0.2507 | 50 | 0.2879 | 744.0 | 470.00 | FALSE | 21.3000 | 2.2800 | 23.500 | TRUE | 3.280 | TRUE | 2.2700 | TRUE | 0.1050 | TRUE | 2.4100 | FALSE | 1.7400 | TRUE | 0.6700 | 295863.000 | 0.2399 | 0.2015 | 220.1221 | 6.9528 | 0.9704 | 485.2811 | 15.3281 | 2.1394 | 33.9595 | 1.0726 | 0.1497 | NA | NA | NA | NA | cash |
| 2018-07-06 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0933 | 40 | 0.2276 | 3357.5 | 2580.00 | TRUE | 11.2000 | 4.9300 | 16.100 | FALSE | 9.790 | TRUE | 0.1300 | TRUE | 0.2110 | TRUE | 0.0035 | FALSE | 0.0119 | TRUE | -0.0215 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-07-06 | TRUE | MUR2 | EOF | MUR | FBM | 0.0938 | 40 | 0.1074 | 340.0 | 168.00 | TRUE | 2.4600 | 0.4810 | 2.940 | FALSE | 1.780 | TRUE | 0.1220 | TRUE | 0.0903 | TRUE | 0.2060 | FALSE | 0.2110 | TRUE | -0.0050 | 768363.000 | 0.6230 | 0.4584 | 261.2434 | 2.2590 | 1.3677 | 575.9372 | 4.9802 | 3.0152 | 35.7060 | 0.3088 | 0.1869 | NA | NA | NA | NA | cash |
| 2018-07-06 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0932 | 40 | 0.1012 | 200.0 | 84.90 | TRUE | 0.5260 | 0.4100 | 0.936 | FALSE | 1.430 | TRUE | 0.0438 | TRUE | 0.0912 | TRUE | 0.0035 | FALSE | 0.0248 | TRUE | -0.0215 | 541106.000 | 0.4388 | 0.2729 | 108.2212 | 0.5065 | 0.7738 | 238.5845 | 1.1166 | 1.7059 | 12.3683 | 0.0579 | 0.0884 | NA | NA | NA | NA | cash |
| 2018-07-06 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0952 | 40 | 0.1016 | 160.0 | 133.00 | TRUE | 0.5780 | 0.3920 | 0.970 | FALSE | 1.540 | TRUE | 0.0369 | TRUE | 0.0754 | TRUE | 0.2580 | FALSE | 0.3330 | TRUE | -0.0750 | 250687.000 | 0.2033 | 0.1368 | 40.1099 | 0.2432 | 0.3861 | 88.4263 | 0.5361 | 0.8511 | 4.9594 | 0.0301 | 0.0477 | NA | NA | NA | NA | cash |
| 2018-07-06 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0922 | 40 | 0.2350 | 3570.0 | 4040.00 | TRUE | 4.3500 | 1.7900 | 6.150 | FALSE | 10.600 | TRUE | -0.0254 | TRUE | 0.1890 | TRUE | 0.0035 | FALSE | 0.0137 | TRUE | -0.0215 | 2167.000 | 0.0018 | 0.0006 | 7.7362 | 0.0133 | 0.0230 | 17.0552 | 0.0294 | 0.0506 | 0.4657 | 0.0008 | 0.0014 | NA | NA | NA | NA | cash |
| 2018-07-06 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0926 | 40 | 0.0993 | 167.5 | 57.70 | TRUE | 3.3600 | 0.5820 | 3.950 | FALSE | 0.717 | TRUE | 0.2860 | TRUE | 0.0541 | TRUE | 0.3800 | FALSE | -0.0770 | TRUE | 0.3550 | 268874.000 | 0.2180 | 0.1831 | 45.0364 | 1.0621 | 0.1928 | 99.2872 | 2.3414 | 0.4250 | 6.9480 | 0.1638 | 0.0297 | NA | NA | NA | NA | cash |
| 2018-07-13 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0934 | 35 | 0.1892 | 2737.1 | NA | FALSE | 7.9000 | -0.1070 | 7.790 | TRUE | 5.950 | TRUE | 0.0286 | TRUE | 0.2240 | TRUE | 0.2210 | TRUE | 0.2440 | TRUE | -0.0230 | 229513.000 | 0.1861 | 0.1173 | 628.2099 | 1.7879 | 1.3656 | 1384.9515 | 3.9416 | 3.0106 | 72.7390 | 0.2070 | 0.1581 | NA | NA | NA | NA | cash |
| 2018-07-13 | TRUE | MUR2 | EOF | MUR | FBM | 0.0924 | 35 | 0.1218 | 840.0 | NA | FALSE | 2.5600 | 0.9360 | 3.490 | TRUE | 3.610 | TRUE | -0.0009 | TRUE | 0.1750 | TRUE | 0.0267 | TRUE | 0.0528 | TRUE | -0.0261 | 301596.000 | 0.2445 | 0.1799 | 253.3406 | 1.0526 | 1.0888 | 558.5148 | 2.3205 | 2.4003 | 34.6258 | 0.1439 | 0.1488 | NA | NA | NA | NA | cash |
| 2018-07-13 | TRUE | SCH2 | EOF | SCH | FBM | 0.0944 | 40 | 0.1126 | 455.0 | NA | FALSE | 0.5470 | 0.6140 | 1.160 | TRUE | 1.830 | TRUE | 0.0421 | TRUE | 0.0942 | TRUE | 0.0035 | TRUE | 0.0436 | TRUE | -0.0215 | 715429.000 | 0.5801 | 0.7633 | 325.5202 | 0.8299 | 1.3092 | 717.6418 | 1.8296 | 2.8863 | 78.6888 | 0.2006 | 0.3165 | NA | NA | NA | NA | cash |
| 2018-07-19 | FALSE | CAR1 | EOF | CAR | CCMT | 0.0947 | 50 | 0.1865 | 1836.0 | 1530.00 | TRUE | 12.4000 | 4.3300 | 16.700 | TRUE | 11.100 | TRUE | 0.0812 | TRUE | 0.3810 | TRUE | 0.2240 | FALSE | -0.1460 | FALSE | 0.1990 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-07-19 | FALSE | PRE1 | EOF | PRE | CCMT | 0.0939 | 50 | 0.1146 | 414.0 | 507.00 | TRUE | 0.7210 | 1.0600 | 1.780 | TRUE | 2.730 | TRUE | -0.0095 | TRUE | 0.3580 | TRUE | 0.0035 | FALSE | -0.4370 | FALSE | -0.0215 | 1258655.000 | 1.0206 | 0.3344 | 521.0832 | 2.2404 | 3.4361 | 1148.7800 | 4.9392 | 7.5753 | 31.3703 | 0.1349 | 0.2069 | NA | NA | NA | NA | cash |
| 2018-07-19 | FALSE | PRE2 | EOF | PRE | FBM | 0.0925 | 50 | 0.1360 | 870.0 | 561.00 | TRUE | 1.4100 | 1.3400 | 2.750 | TRUE | 3.490 | TRUE | -0.0175 | TRUE | 0.3530 | TRUE | 0.0122 | FALSE | -0.3890 | FALSE | -0.0128 | 4594725.000 | 3.7256 | 1.1963 | 3997.4108 | 12.6355 | 16.0356 | 8812.6917 | 27.8562 | 35.3521 | 235.8226 | 0.7454 | 0.9460 | NA | NA | NA | NA | cash |
| 2018-07-19 | FALSE | SCH1 | EOF | SCH | CCMT | 0.0939 | 50 | 0.1011 | 144.0 | 59.50 | TRUE | 0.9550 | 0.7910 | 1.750 | TRUE | 1.640 | TRUE | 0.0366 | TRUE | 2.6200 | TRUE | 0.0371 | FALSE | -0.3050 | FALSE | 0.0121 | 1746700.000 | 1.4163 | 1.6373 | 251.5248 | 3.0567 | 2.8646 | 554.5116 | 6.7389 | 6.3153 | 53.4212 | 0.6492 | 0.6084 | NA | NA | NA | NA | cash |
| 2018-07-19 | FALSE | SIM1 | EOF | SIM | CCMT | 0.0916 | 25 | 0.2462 | 6184.0 | 5760.00 | TRUE | 8.0100 | 9.8900 | 17.900 | TRUE | 10.800 | TRUE | 1.4000 | TRUE | 0.3690 | TRUE | 0.0035 | FALSE | -0.4030 | FALSE | -0.0215 | 118117.000 | 0.0958 | 0.0804 | 730.4355 | 2.1143 | 1.2757 | 1610.3182 | 4.6612 | 2.8123 | 112.6885 | 0.3262 | 0.1968 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0917 | 30 | 0.2958 | 6803.3 | 8320.00 | TRUE | 9.6300 | 7.3500 | 17.000 | TRUE | 14.200 | TRUE | 0.1670 | TRUE | 0.2630 | TRUE | 0.0035 | FALSE | -0.3960 | FALSE | -0.0215 | 99207.000 | 0.0804 | 0.0507 | 674.9383 | 1.6865 | 1.4087 | 1487.9690 | 3.7181 | 3.1057 | 78.1496 | 0.1953 | 0.1631 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | MUR2 | EOF | MUR | FBM | 0.0930 | 30 | 0.1619 | 2296.7 | 2650.00 | TRUE | 3.3900 | 2.9700 | 6.360 | TRUE | 8.460 | TRUE | 0.0426 | TRUE | 0.2070 | TRUE | 0.0035 | FALSE | -0.4400 | FALSE | -0.0215 | 181414.000 | 0.1471 | 0.1082 | 416.6475 | 1.1538 | 1.5348 | 918.5410 | 2.5437 | 3.3835 | 56.9461 | 0.1577 | 0.2098 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | MUZ1 | EOF | MUZ | CCMT | 0.0909 | 50 | 0.0963 | 108.0 | 46.00 | TRUE | 0.4430 | 0.7920 | 1.250 | TRUE | 1.270 | TRUE | 0.0833 | TRUE | 0.1570 | TRUE | 0.2870 | FALSE | -0.0987 | FALSE | 0.2620 | 627259.000 | 0.5086 | 0.3164 | 67.7440 | 0.7841 | 0.7966 | 149.3484 | 1.7286 | 1.7562 | 7.7423 | 0.0896 | 0.0910 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | MUZ2 | EOF | MUZ | FBM | 0.0938 | 30 | 0.1029 | 303.3 | 267.00 | TRUE | 3.4200 | 2.0000 | 5.430 | TRUE | 3.300 | TRUE | 0.5910 | TRUE | 0.3660 | TRUE | 0.2200 | FALSE | -0.1730 | FALSE | 0.1950 | 45359.000 | 0.0368 | 0.0248 | 13.7589 | 0.2463 | 0.1497 | 30.3329 | 0.5430 | 0.3300 | 1.7012 | 0.0305 | 0.0185 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | PRE1 | EOF | PRE | CCMT | 0.0935 | 30 | 0.4252 | 11056.7 | 7230.00 | TRUE | 7.0700 | 3.6900 | 10.800 | TRUE | 12.600 | TRUE | 0.0489 | TRUE | 0.1610 | TRUE | 0.0172 | FALSE | -0.3870 | FALSE | -0.0078 | 618285.000 | 0.5013 | 0.1643 | 6836.1712 | 6.6775 | 7.7904 | 15071.0229 | 14.7212 | 17.1747 | 411.5517 | 0.4020 | 0.4690 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | PRE2 | EOF | PRE | FBM | 0.0926 | 50 | 0.0994 | 136.0 | 134.00 | TRUE | 0.6830 | 1.6300 | 2.310 | TRUE | 1.630 | TRUE | 0.1970 | TRUE | 0.3270 | TRUE | 0.0035 | FALSE | -0.3970 | FALSE | -0.0215 | 1900935.000 | 1.5414 | 0.4949 | 258.5272 | 4.3912 | 3.0985 | 569.9490 | 9.6808 | 6.8310 | 15.2515 | 0.2591 | 0.1828 | NA | NA | NA | NA | cash |
| 2018-07-23 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0926 | 50 | 0.1475 | 1098.0 | 526.00 | TRUE | 12.0000 | 2.1700 | 14.200 | TRUE | 3.730 | TRUE | 0.1450 | TRUE | 0.2320 | TRUE | 0.6800 | FALSE | 0.3840 | FALSE | 0.2960 | 106540.000 | 0.0864 | 0.0725 | 116.9809 | 1.5129 | 0.3974 | 257.8961 | 3.3353 | 0.8761 | 18.0473 | 0.2334 | 0.0613 | NA | NA | NA | NA | cash |
| 2018-07-31 | FALSE | MUR1 | EOF | MUR | CCMT | 0.0928 | 20 | 0.2117 | 5945.0 | 6430.00 | TRUE | 6.9300 | 2.4700 | 9.400 | TRUE | 12.000 | TRUE | 0.1590 | TRUE | 0.3330 | TRUE | 0.0956 | FALSE | -0.2890 | FALSE | 0.0706 | 47765.000 | 0.0387 | 0.0244 | 283.9629 | 0.4490 | 0.5732 | 626.0247 | 0.9898 | 1.2636 | 32.8794 | 0.0520 | 0.0664 | NA | NA | NA | NA | cash |
| 2018-07-31 | FALSE | MUZ2 | EOF | MUZ | FBM | 0.0927 | 20 | 0.0972 | 225.0 | 126.00 | TRUE | 0.6610 | 0.5790 | 1.240 | TRUE | 1.420 | TRUE | -0.0364 | TRUE | 0.1410 | TRUE | 0.0035 | FALSE | -0.4020 | FALSE | -0.0215 | 55551.000 | 0.0450 | 0.0303 | 12.4990 | 0.0689 | 0.0789 | 27.5552 | 0.1519 | 0.1739 | 1.5454 | 0.0085 | 0.0098 | NA | NA | NA | NA | cash |
| 2018-07-31 | FALSE | PRE1 | EOF | PRE | CCMT | 0.0944 | 20 | 0.1293 | 1745.0 | 585.00 | TRUE | 1.6900 | 0.0450 | 1.730 | TRUE | 4.110 | TRUE | -0.0217 | TRUE | 0.2580 | TRUE | 0.0966 | FALSE | -0.2660 | FALSE | 0.0716 | 2028901.000 | 1.6451 | 0.5391 | 3540.4322 | 3.5100 | 8.3388 | 7805.2369 | 7.7381 | 18.3837 | 213.1414 | 0.2113 | 0.5020 | NA | NA | NA | NA | cash |
| 2018-07-31 | FALSE | SCH1 | EOF | SCH | CCMT | 0.0938 | 20 | 0.0952 | 70.0 | 15.70 | TRUE | 0.3380 | 0.2170 | 0.599 | TRUE | 1.070 | TRUE | 0.0361 | TRUE | 0.2710 | TRUE | 0.0390 | FALSE | -0.3890 | FALSE | 0.0140 | 799175.000 | 0.6480 | 0.7491 | 55.9422 | 0.4787 | 0.8551 | 123.3303 | 1.0554 | 1.8852 | 11.8815 | 0.1017 | 0.1816 | NA | NA | NA | NA | cash |
| 2018-07-31 | FALSE | SCH2 | EOF | SCH | FBM | 0.0937 | 20 | 0.0962 | 125.0 | 59.80 | TRUE | 6.6800 | -6.4200 | 0.258 | TRUE | 1.220 | TRUE | 0.0680 | TRUE | 0.1480 | TRUE | 0.1070 | FALSE | -0.2590 | FALSE | 0.0820 | 718728.000 | 0.5828 | 0.7668 | 89.8410 | 0.1854 | 0.8768 | 198.0635 | 0.4088 | 1.9331 | 21.7175 | 0.0448 | 0.2120 | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | CAR1 | EOF | CAR | CCMT | 0.0933 | 20 | 0.1208 | 1375.0 | 960.00 | FALSE | NA | NA | 8.440 | TRUE | 7.840 | TRUE | 0.1550 | FALSE | 21.2000 | TRUE | 0.6900 | FALSE | -0.0440 | TRUE | 0.6650 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | MUR1 | EOF | MUR | CCMT | 0.0923 | 20 | 0.1771 | 4240.0 | 4472.00 | FALSE | NA | NA | 3.540 | TRUE | 3.520 | TRUE | -0.0082 | FALSE | 0.5710 | TRUE | 0.1500 | FALSE | -0.0419 | TRUE | 0.1250 | 2628348.000 | 2.1312 | 1.3432 | 11144.1955 | 9.3044 | 9.2518 | 24568.4934 | 20.5124 | 20.3965 | 1290.3621 | 1.0773 | 1.0712 | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | MUR2 | EOF | MUR | FBM | 0.0913 | 20 | 0.1160 | 1235.0 | 2024.00 | FALSE | NA | NA | 4.850 | TRUE | 5.610 | TRUE | 0.0743 | FALSE | 0.6260 | TRUE | 0.0035 | FALSE | -0.0482 | TRUE | -0.0215 | 1154103.000 | 0.9358 | 0.6885 | 1425.3172 | 5.5974 | 6.4745 | 3142.2543 | 12.3400 | 14.2737 | 194.8081 | 0.7650 | 0.8849 | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | MUZ1 | EOF | MUZ | CCMT | 0.0935 | 20 | 0.1504 | 2845.0 | 2620.00 | FALSE | NA | NA | 11.400 | TRUE | 9.680 | TRUE | 0.0719 | FALSE | 0.6500 | TRUE | 2.5500 | FALSE | -0.0457 | TRUE | 2.5250 | 3594904.000 | 2.9149 | 1.8133 | 10227.5019 | 40.9819 | 34.7987 | 22547.5506 | 90.3487 | 76.7171 | 1168.8725 | 4.6837 | 3.9770 | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | MUZ2 | EOF | MUZ | FBM | 0.0931 | 30 | 0.1033 | 340.0 | 373.00 | FALSE | NA | NA | 4.900 | TRUE | 3.220 | TRUE | 0.0707 | FALSE | 0.9210 | TRUE | 2.7100 | FALSE | -0.0446 | TRUE | 2.6850 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | PRE2 | EOF | PRE | FBM | 0.0939 | 30 | 0.0969 | 100.0 | 86.90 | FALSE | NA | NA | 2.590 | TRUE | 0.498 | TRUE | 0.3630 | FALSE | 0.3810 | TRUE | 0.0262 | FALSE | -0.0436 | TRUE | 0.0012 | 902238.000 | 0.7316 | 0.2349 | 90.2238 | 2.3368 | 0.4493 | 198.9074 | 5.1517 | 0.9906 | 5.3226 | 0.1379 | 0.0265 | NA | NA | NA | NA | cash |
| 2018-09-11 | FALSE | SCH2 | EOF | SCH | FBM | 0.0930 | 20 | 0.1185 | 1275.0 | 895.00 | FALSE | NA | NA | 5.000 | TRUE | 4.320 | TRUE | 0.0397 | FALSE | 0.4180 | TRUE | 0.4400 | FALSE | -0.0437 | TRUE | 0.4150 | 13855.000 | 0.0112 | 0.0148 | 17.6651 | 0.0693 | 0.0599 | 38.9445 | 0.1527 | 0.1320 | 4.2702 | 0.0167 | 0.0145 | NA | NA | NA | NA | cash |
| 2018-09-27 | FALSE | MUZ1 | EOF | MUZ | CCMT | 0.0926 | 40 | 0.1206 | 700.0 | 579.00 | FALSE | 2.9700 | 0.7930 | 3.760 | FALSE | 3.350 | TRUE | 0.0802 | FALSE | 0.5970 | TRUE | 2.4200 | FALSE | -0.0377 | TRUE | 2.3950 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-09-27 | FALSE | MUZ2 | EOF | MUZ | FBM | 0.0940 | 30 | 0.1640 | 2333.3 | 2596.00 | FALSE | 3.0700 | 6.2100 | 9.280 | FALSE | 10.900 | TRUE | 0.7230 | FALSE | 0.3610 | TRUE | 0.2380 | FALSE | -0.0044 | TRUE | 0.2130 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-09-27 | FALSE | SCH2 | EOF | SCH | FBM | 0.0921 | 30 | 0.1149 | 760.0 | 926.00 | FALSE | 3.1200 | 0.1970 | 3.320 | FALSE | 4.230 | TRUE | 0.2400 | FALSE | 1.0700 | TRUE | 1.5100 | FALSE | 0.0345 | TRUE | 1.4850 | 63010.000 | 0.0511 | 0.0672 | 47.8876 | 0.2092 | 0.2665 | 105.5730 | 0.4612 | 0.5876 | 11.5760 | 0.0506 | 0.0644 | NA | NA | NA | NA | cash |
| 2018-09-27 | FALSE | SIM1 | EOF | SIM | CCMT | 0.0932 | 20 | 0.1364 | 2160.0 | 3536.00 | FALSE | 6.5800 | 1.6200 | 8.200 | FALSE | 6.810 | TRUE | 0.6220 | FALSE | 0.4860 | TRUE | 3.9900 | FALSE | 0.1340 | TRUE | 3.8560 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2018-10-18 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0948 | 30 | 0.0979 | 103.3 | 179.00 | FALSE | 3.1000 | 1.5800 | 4.680 | TRUE | 5.700 | FALSE | 0.2010 | TRUE | 3.5700 | TRUE | 3.0700 | TRUE | -0.0714 | FALSE | 3.0450 | 1503586.000 | 1.2192 | 0.6543 | 155.3706 | 7.0368 | 8.5704 | 342.5299 | 15.5133 | 18.8944 | 15.3189 | 0.6938 | 0.8450 | NA | NA | NA | NA | cash |
| 2018-10-18 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0914 | 30 | 0.1166 | 840.0 | 1544.00 | FALSE | 10.4000 | 2.6700 | 13.000 | TRUE | 4.070 | FALSE | 0.1090 | TRUE | 0.5230 | TRUE | 9.9100 | TRUE | -0.0720 | FALSE | 9.8850 | 1472029.000 | 1.1936 | 0.7523 | 1236.5044 | 19.1364 | 5.9912 | 2725.9975 | 42.1881 | 13.2081 | 143.1721 | 2.2158 | 0.6937 | NA | NA | NA | NA | cash |
| 2018-10-18 | TRUE | MUR2 | EOF | MUR | FBM | 0.0910 | 30 | 0.0990 | 266.7 | 387.00 | FALSE | 16.3000 | 0.3640 | 16.700 | TRUE | 1.330 | FALSE | 0.0509 | TRUE | 0.2250 | TRUE | 13.2000 | TRUE | -0.0257 | FALSE | 13.1750 | 195482.000 | 0.1585 | 0.1166 | 52.1285 | 3.2645 | 0.2600 | 114.9226 | 7.1970 | 0.5732 | 7.1248 | 0.4462 | 0.0355 | NA | NA | NA | NA | cash |
| 2018-10-18 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0943 | 30 | 0.0947 | 13.3 | 47.50 | FALSE | 3.2600 | 0.9370 | 4.190 | TRUE | 1.880 | FALSE | 0.2670 | TRUE | 1.5100 | TRUE | 3.4200 | TRUE | -0.0681 | FALSE | 3.3950 | 110230.000 | 0.0894 | 0.0751 | 1.4697 | 0.4619 | 0.2072 | 3.2402 | 1.0182 | 0.4569 | 0.2267 | 0.0713 | 0.0320 | NA | NA | NA | NA | cash |
| 2018-11-04 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0895 | 45 | 0.0995 | 222.2 | 198.00 | FALSE | 1.8900 | 0.2720 | 2.160 | TRUE | 0.075 | TRUE | 0.0286 | TRUE | 1.7600 | TRUE | 0.2330 | TRUE | -0.0591 | FALSE | 0.2080 | 458257.000 | 0.3716 | 0.1994 | 101.8349 | 0.9898 | 0.0344 | 224.5052 | 2.1822 | 0.0758 | 10.0405 | 0.0976 | 0.0034 | NA | NA | NA | NA | cover |
| 2018-11-04 | TRUE | MUR2 | EOF | MUR | FBM | 0.0906 | 20 | 0.1041 | 675.0 | 862.00 | FALSE | 3.4800 | 1.9300 | 5.410 | TRUE | 3.230 | TRUE | 0.1110 | TRUE | 0.1890 | TRUE | 3.8400 | TRUE | -0.0711 | FALSE | 3.8150 | 1449040.000 | 1.1749 | 0.8645 | 978.1020 | 7.8393 | 4.6804 | 2156.3237 | 17.2825 | 10.3184 | 133.6840 | 1.0715 | 0.6397 | NA | NA | NA | NA | cover |
| 2018-11-04 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0927 | 50 | 0.0952 | 50.0 | 49.80 | FALSE | 1.7700 | 0.1840 | 1.960 | TRUE | 0.997 | TRUE | 0.0738 | TRUE | 0.4140 | TRUE | 0.7400 | TRUE | -0.0672 | FALSE | 0.7150 | 401565.000 | 0.3256 | 0.2734 | 20.0783 | 0.7871 | 0.4004 | 44.2645 | 1.7352 | 0.8826 | 3.0976 | 0.1214 | 0.0618 | NA | NA | NA | NA | cover |
| 2018-11-11 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0944 | 40 | 0.0957 | 32.5 | 143.00 | FALSE | 1.0100 | 1.1600 | 2.180 | TRUE | 2.970 | TRUE | 0.1620 | FALSE | 1.2000 | TRUE | 0.6330 | TRUE | -0.0401 | FALSE | 0.6080 | 4596368.000 | 3.7269 | 2.0001 | 149.3820 | 10.0201 | 13.6512 | 329.3275 | 22.0903 | 30.0955 | 14.7284 | 0.9879 | 1.3460 | NA | NA | NA | NA | cover |
| 2018-11-11 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0933 | 30 | 0.1139 | 686.7 | 1020.00 | FALSE | 2.9000 | 1.5300 | 4.430 | TRUE | 3.460 | TRUE | 0.1480 | FALSE | 0.2250 | TRUE | 1.3700 | TRUE | -0.0504 | FALSE | 1.3450 | 1871639.000 | 1.5176 | 0.9565 | 1285.1921 | 8.2914 | 6.4759 | 2833.3345 | 18.2791 | 14.2767 | 148.8096 | 0.9600 | 0.7498 | NA | NA | NA | NA | cover |
| 2018-11-11 | TRUE | MUR2 | EOF | MUR | FBM | 0.0924 | 30 | 0.1595 | 2236.7 | 2565.00 | FALSE | 4.2500 | 0.2410 | 4.490 | TRUE | 4.610 | TRUE | 0.2280 | FALSE | 0.2010 | TRUE | 0.4270 | TRUE | -0.0517 | FALSE | 0.4020 | 868026.000 | 0.7038 | 0.5178 | 1941.4848 | 3.8974 | 4.0016 | 4280.1974 | 8.5923 | 8.8219 | 265.3563 | 0.5327 | 0.5469 | NA | NA | NA | NA | cover |
| 2018-11-11 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0916 | 40 | 0.1035 | 297.5 | 348.00 | FALSE | 1.2500 | 0.8190 | 2.070 | TRUE | 1.520 | TRUE | 0.1310 | FALSE | 0.2120 | TRUE | 0.3250 | TRUE | -0.0472 | FALSE | 0.3000 | 78164.000 | 0.0634 | 0.0532 | 23.2538 | 0.1618 | 0.1188 | 51.2653 | 0.3567 | 0.2619 | 3.5875 | 0.0250 | 0.0183 | NA | NA | NA | NA | cover |
| 2018-12-03 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0910 | 40 | 0.0926 | 40.0 | 33.90 | FALSE | 4.2500 | 1.2500 | 5.500 | TRUE | 3.010 | TRUE | 0.1610 | FALSE | 2.0100 | TRUE | 2.3700 | TRUE | -0.0399 | FALSE | 2.3450 | 119869.000 | 0.0972 | 0.0522 | 4.7948 | 0.6593 | 0.3608 | 10.5705 | 1.4534 | 0.7954 | 0.4727 | 0.0650 | 0.0356 | NA | NA | NA | NA | cover |
| 2018-12-03 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0926 | 40 | 0.1122 | 490.0 | 648.00 | FALSE | 2.5200 | 1.2800 | 3.800 | TRUE | 2.280 | TRUE | 0.2110 | FALSE | 0.2860 | TRUE | 0.7240 | TRUE | -0.0409 | FALSE | 0.6990 | 245272.000 | 0.1989 | 0.1253 | 120.1833 | 0.9320 | 0.5592 | 264.9561 | 2.0548 | 1.2329 | 13.9158 | 0.1079 | 0.0648 | NA | NA | NA | NA | cover |
| 2018-12-03 | TRUE | SCH2 | EOF | SCH | FBM | 0.0920 | 20 | 0.1746 | 4130.0 | 6032.00 | FALSE | 7.8400 | 5.0600 | 12.900 | TRUE | 18.200 | TRUE | 0.3050 | FALSE | 1.2000 | TRUE | 0.6330 | TRUE | -0.0379 | FALSE | 0.6080 | 1013721.000 | 0.8220 | 1.0815 | 4186.6677 | 13.0770 | 18.4497 | 9229.9277 | 28.8296 | 40.6743 | 1012.0535 | 3.1611 | 4.4599 | NA | NA | NA | NA | cover |
| 2018-12-11 | FALSE | CAR1 | EOF | CAR | CCMT | 0.0916 | 45 | 0.0928 | 26.7 | 31.90 | FALSE | 0.5720 | 1.6700 | 2.240 | TRUE | 2.090 | TRUE | 0.1610 | FALSE | 0.9700 | FALSE | 0.2670 | FALSE | -0.0350 | FALSE | 0.2420 | 4760333.000 | 3.8599 | 2.0715 | 126.9422 | 10.6631 | 9.9491 | 279.8568 | 23.5080 | 21.9338 | 12.5160 | 1.0513 | 0.9809 | NA | NA | NA | NA | cover |
| 2018-12-11 | FALSE | MUR1 | EOF | MUR | CCMT | 0.0917 | 30 | 0.1024 | 356.7 | 479.00 | FALSE | 1.0600 | 4.2800 | 5.340 | TRUE | 2.030 | TRUE | 0.0390 | FALSE | 0.2580 | FALSE | 3.8800 | FALSE | -0.0331 | FALSE | 3.8550 | 4470902.000 | 3.6252 | 2.2848 | 1594.6217 | 23.8746 | 9.0759 | 3515.5030 | 52.6340 | 20.0088 | 184.6378 | 2.7644 | 1.0509 | NA | NA | NA | NA | cover |
| 2018-12-11 | FALSE | MUR2 | EOF | MUR | FBM | 0.0918 | 30 | 0.1134 | 720.0 | 1004.00 | FALSE | 1.6900 | 2.2100 | 3.900 | TRUE | 3.140 | TRUE | -0.0236 | FALSE | 0.2210 | FALSE | 0.9440 | FALSE | -0.0255 | FALSE | 0.9190 | 2739316.000 | 2.2211 | 1.6342 | 1972.3075 | 10.6833 | 8.6015 | 4348.1492 | 23.5525 | 18.9628 | 269.5691 | 1.4602 | 1.1756 | NA | NA | NA | NA | cover |
| 2019-01-16 | FALSE | CAR1 | EOF | CAR | CCMT | 0.0927 | 50 | 0.0938 | 22.0 | 33.20 | FALSE | 0.8550 | 0.7340 | 1.590 | TRUE | 2.370 | TRUE | 0.3590 | TRUE | 0.9450 | TRUE | 0.2410 | TRUE | -0.4350 | FALSE | 0.2160 | 932079.000 | 0.7558 | 0.4056 | 20.5057 | 1.4820 | 2.2090 | 45.2069 | 3.2672 | 4.8700 | 2.0218 | 0.1461 | 0.2178 | NA | NA | NA | NA | cover |
| 2019-01-16 | FALSE | MUR1 | EOF | MUR | CCMT | 0.0919 | 20 | 0.1285 | 1830.0 | 2252.00 | FALSE | 2.0300 | 1.5100 | 3.540 | TRUE | 5.510 | TRUE | 0.0296 | TRUE | 0.1810 | TRUE | 0.3710 | TRUE | -0.4360 | FALSE | 0.3460 | 571585.000 | 0.4635 | 0.2921 | 1046.0005 | 2.0234 | 3.1494 | 2306.0128 | 4.4608 | 6.9432 | 121.1141 | 0.2343 | 0.3647 | NA | NA | NA | NA | cover |
| 2019-01-16 | FALSE | MUR2 | EOF | MUR | FBM | 0.0919 | 35 | 0.1288 | 1054.3 | 1680.00 | FALSE | 1.9700 | 0.5370 | 2.510 | TRUE | 4.100 | TRUE | 0.2670 | TRUE | 0.1200 | TRUE | 0.3700 | TRUE | -0.4460 | FALSE | 0.3450 | 127275.000 | 0.1032 | 0.0759 | 134.1842 | 0.3195 | 0.5218 | 295.8225 | 0.7043 | 1.1504 | 18.3399 | 0.0437 | 0.0713 | NA | NA | NA | NA | cover |
| 2019-01-21 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0914 | 40 | 0.0939 | 62.5 | 70.40 | FALSE | 0.3530 | 1.9300 | 2.280 | TRUE | 2.110 | TRUE | 0.3680 | TRUE | 1.0000 | TRUE | 0.6540 | TRUE | -0.4430 | FALSE | 0.6290 | 1412468.000 | 1.1453 | 0.6146 | 88.2792 | 3.2204 | 2.9803 | 194.6204 | 7.0998 | 6.5704 | 8.7040 | 0.3175 | 0.2938 | NA | NA | NA | NA | cover |
| 2019-01-21 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0921 | 20 | 0.1145 | 1120.0 | 1780.00 | FALSE | 3.1800 | 0.6780 | 3.860 | TRUE | 5.040 | TRUE | 0.1320 | TRUE | 0.1580 | TRUE | 0.5550 | TRUE | -0.4380 | FALSE | 0.5300 | 1929384.000 | 1.5644 | 0.9860 | 2160.9101 | 7.4474 | 9.7241 | 4763.9424 | 16.4186 | 21.4377 | 250.2071 | 0.8623 | 1.1259 | NA | NA | NA | NA | cover |
| 2019-01-21 | TRUE | MUR2 | EOF | MUR | FBM | 0.0923 | 20 | 0.1266 | 1715.0 | 2370.00 | FALSE | 3.7100 | 0.0520 | 3.760 | TRUE | 6.250 | TRUE | 0.1700 | TRUE | 0.1810 | TRUE | 0.3350 | TRUE | -0.4320 | FALSE | 0.3100 | 1613370.000 | 1.3082 | 0.9625 | 2766.9295 | 6.0663 | 10.0836 | 6099.9729 | 13.3737 | 22.2302 | 378.1756 | 0.8291 | 1.3782 | NA | NA | NA | NA | cover |
| 2019-01-21 | TRUE | SCH2 | EOF | SCH | FBM | 0.0908 | 20 | 0.1050 | 710.0 | 857.00 | FALSE | 1.7300 | 1.2400 | 2.970 | TRUE | 5.330 | TRUE | 0.5760 | TRUE | 1.0300 | TRUE | 0.2480 | TRUE | -0.4460 | FALSE | 0.2230 | 621133.000 | 0.5036 | 0.6627 | 441.0044 | 1.8448 | 3.3106 | 972.2384 | 4.0670 | 7.2986 | 106.6051 | 0.4459 | 0.8003 | NA | NA | NA | NA | cover |
| 2019-01-25 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0929 | 40 | 0.0930 | 2.5 | 14.80 | FALSE | NA | NA | NA | FALSE | 1.350 | TRUE | 0.0498 | FALSE | 0.3860 | TRUE | 0.0035 | TRUE | -0.2590 | FALSE | -0.0215 | 661290.000 | 0.5362 | 0.2878 | 1.6532 | NA | 0.8927 | 3.6447 | NA | 1.9681 | 0.1630 | NA | 0.0880 | NA | NA | NA | NA | cover |
| 2019-01-25 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0931 | 20 | 0.1110 | 895.0 | 1290.00 | FALSE | NA | NA | NA | FALSE | 4.220 | TRUE | -0.4880 | FALSE | 0.0863 | TRUE | 0.0035 | TRUE | -0.2670 | FALSE | -0.0215 | 2214182.000 | 1.7953 | 1.1315 | 1981.6929 | NA | 9.3438 | 4368.8401 | NA | 20.5994 | 229.4559 | NA | 1.0819 | NA | NA | NA | NA | cover |
| 2019-01-25 | TRUE | MUR2 | EOF | MUR | FBM | 0.0910 | 20 | 0.1090 | 900.0 | 1610.00 | FALSE | NA | NA | NA | FALSE | 4.980 | TRUE | -0.5240 | FALSE | 0.0888 | TRUE | 0.0035 | TRUE | -0.2600 | FALSE | -0.0215 | 894271.000 | 0.7251 | 0.5335 | 804.8439 | NA | 4.4535 | 1774.3589 | NA | 9.8181 | 110.0036 | NA | 0.6087 | NA | NA | NA | NA | cover |
| 2019-03-06 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0949 | 41 | 0.1091 | 346.3 | 205.00 | FALSE | NA | NA | NA | FALSE | 2.510 | FALSE | -0.1000 | FALSE | 0.2400 | FALSE | 0.0035 | TRUE | -0.0133 | TRUE | -0.0215 | 954810.000 | 0.7742 | 0.4155 | 330.6903 | NA | 2.3966 | 729.0398 | NA | 5.2835 | 32.6046 | NA | 0.2363 | NA | NA | NA | NA | cover |
| 2019-03-06 | TRUE | CAR2 | EOF | CAR | FBM | 0.0940 | 40 | 0.1078 | 345.0 | 243.00 | FALSE | NA | NA | NA | FALSE | 2.210 | FALSE | -0.0990 | FALSE | 0.2470 | FALSE | 0.0035 | TRUE | -0.0236 | TRUE | -0.0215 | 904735.000 | 0.7336 | 0.3762 | 312.1336 | NA | 1.9995 | 688.1297 | NA | 4.4080 | 29.4073 | NA | 0.1884 | NA | NA | NA | NA | cover |
| 2019-03-06 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0921 | 40 | 0.2208 | 3217.5 | 4005.00 | FALSE | NA | NA | NA | FALSE | 9.970 | FALSE | -0.1380 | FALSE | 0.0523 | FALSE | 0.0035 | TRUE | -0.0230 | TRUE | -0.0215 | 1258372.000 | 1.0203 | 0.6431 | 4048.8119 | NA | 12.5460 | 8926.0107 | NA | 27.6588 | 468.8031 | NA | 1.4527 | NA | NA | NA | NA | cover |
| 2019-03-06 | TRUE | MUR2 | EOF | MUR | FBM | 0.0937 | 40 | 0.1785 | 2120.0 | 2895.00 | FALSE | NA | NA | NA | FALSE | 6.700 | FALSE | -0.1260 | FALSE | 0.0685 | FALSE | 0.0035 | TRUE | -0.0232 | TRUE | -0.0215 | 928919.000 | 0.7532 | 0.5542 | 1969.3083 | NA | 6.2238 | 4341.5370 | NA | 13.7209 | 269.1591 | NA | 0.8506 | NA | NA | NA | NA | cover |
| 2019-03-06 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0939 | 41 | 0.1001 | 151.2 | 178.00 | FALSE | NA | NA | NA | FALSE | 8.739 | FALSE | -0.0826 | FALSE | 0.0532 | FALSE | 0.0035 | TRUE | -0.0231 | TRUE | -0.0215 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2019-03-12 | TRUE | HB | INST | NA | NA | 0.0925 | 40 | 0.0979 | 135.0 | 246.00 | TRUE | 1.3900 | 0.8090 | 2.200 | TRUE | 1.390 | TRUE | -0.0746 | FALSE | 0.1540 | FALSE | -0.2010 | TRUE | -0.0204 | TRUE | -0.2025 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.87 | 83.5 | 603.8 | 13.1 | cover |
| 2019-03-12 | TRUE | PB | INST | NA | NA | 0.0941 | 41 | 0.1037 | 234.1 | 367.00 | TRUE | 1.2500 | 0.0917 | 2.160 | TRUE | 1.820 | TRUE | 0.3650 | FALSE | 0.1070 | FALSE | -0.1980 | TRUE | -0.0150 | TRUE | -0.1995 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.53 | 92.3 | 444.7 | 19.5 | cover |
| 2019-03-16 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0942 | 30 | 0.2518 | 5253.3 | 7905.00 | TRUE | 8.3900 | 3.9800 | 12.400 | TRUE | 17.000 | TRUE | -0.0571 | FALSE | 0.1980 | FALSE | 0.1330 | TRUE | -0.0172 | TRUE | 0.1080 | 570675.000 | 0.4627 | 0.2916 | 2997.9460 | 7.0764 | 9.7015 | 6609.2718 | 15.6006 | 21.3879 | 347.1256 | 0.8194 | 1.1233 | NA | NA | NA | NA | cover |
| 2019-03-16 | TRUE | MUR2 | EOF | MUR | FBM | 0.0922 | 20 | 0.2203 | 6405.0 | 10320.00 | TRUE | 9.8400 | 4.5100 | 14.300 | TRUE | 21.200 | TRUE | -0.0071 | FALSE | 0.1820 | FALSE | 0.0652 | TRUE | -0.0166 | TRUE | 0.0402 | 727044.000 | 0.5895 | 0.4337 | 4656.7168 | 10.3967 | 15.4133 | 10266.1979 | 22.9206 | 33.9802 | 636.4661 | 1.4210 | 2.1066 | NA | NA | NA | NA | cover |
| 2019-03-16 | TRUE | SCH2 | EOF | SCH | FBM | 0.0934 | 30 | 0.4157 | 10743.3 | 7845.00 | TRUE | 9.2700 | 8.4500 | 17.700 | TRUE | 27.500 | TRUE | -0.0689 | FALSE | 0.4680 | FALSE | 0.5180 | TRUE | -0.0177 | TRUE | 0.4930 | 856007.000 | 0.6941 | 0.9133 | 9196.3685 | 15.1513 | 23.5402 | 20274.3141 | 33.4026 | 51.8967 | 2223.0608 | 3.6626 | 5.6904 | NA | NA | NA | NA | cover |
| 2019-03-16 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0934 | 40 | 0.1376 | 1105.0 | 1377.00 | TRUE | 2.3400 | 2.1700 | 4.510 | TRUE | 4.610 | TRUE | 0.0113 | FALSE | 0.0503 | FALSE | 0.1210 | TRUE | -0.0166 | TRUE | 0.0960 | 146494.000 | 0.1188 | 0.0997 | 161.8759 | 0.6607 | 0.6753 | 356.8715 | 1.4566 | 1.4888 | 24.9735 | 0.1019 | 0.1042 | NA | NA | NA | NA | cover |
| 2019-03-26 | TRUE | CAR2 | EOF | CAR | FBM | 0.0899 | 24 | 0.2919 | 8416.7 | 8100.00 | TRUE | 9.7000 | 9.1000 | 18.800 | TRUE | 24.100 | TRUE | 0.2930 | FALSE | 1.2300 | FALSE | 2.4900 | TRUE | -0.0124 | TRUE | 2.4650 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2019-03-26 | TRUE | HB | INST | NA | NA | 0.0912 | 50 | 0.0964 | 104.0 | 179.00 | TRUE | 1.8000 | 0.4120 | 2.220 | TRUE | 1.290 | TRUE | -0.0048 | FALSE | 0.1400 | FALSE | 1.2200 | TRUE | -0.0148 | TRUE | 1.2185 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.52 | 81.5 | 209.3 | 13.8 | cover |
| 2019-03-26 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0928 | 24 | 0.1315 | 1612.5 | 2085.00 | TRUE | 2.6300 | 2.8400 | 5.470 | TRUE | 5.830 | TRUE | 0.0817 | FALSE | 0.4590 | FALSE | 0.5240 | TRUE | -0.0162 | TRUE | 0.4990 | 477748.000 | 0.3874 | 0.2441 | 770.3686 | 2.6133 | 2.7853 | 1698.3547 | 5.7612 | 6.1404 | 89.1993 | 0.3026 | 0.3225 | NA | NA | NA | NA | cover |
| 2019-03-26 | TRUE | MUR2 | EOF | MUR | FBM | 0.0913 | 30 | 0.1731 | 2726.7 | 3405.00 | TRUE | 3.0500 | 6.0900 | 9.150 | TRUE | 6.990 | TRUE | 0.0689 | FALSE | 0.3720 | FALSE | 0.6460 | TRUE | -0.0173 | TRUE | 0.6210 | 243758.000 | 0.1976 | 0.1454 | 664.6468 | 2.2304 | 1.7039 | 1465.2804 | 4.9171 | 3.7563 | 90.8419 | 0.3048 | 0.2329 | NA | NA | NA | NA | cover |
| 2019-03-26 | TRUE | PB | INST | NA | NA | 0.0944 | 50 | 0.1078 | 268.0 | 472.00 | TRUE | 1.9200 | 1.2600 | 3.170 | TRUE | 2.560 | TRUE | 0.3710 | FALSE | 0.1530 | FALSE | 1.0200 | TRUE | -0.0145 | TRUE | 1.0185 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7.98 | 77.3 | 1457.7 | 14.4 | cover |
| 2019-03-26 | TRUE | SCH2 | EOF | SCH | FBM | 0.0914 | 32 | 0.1346 | 1350.0 | 1845.00 | TRUE | 2.9000 | 2.0300 | 4.930 | TRUE | 10.700 | TRUE | 4.4200 | FALSE | 0.7200 | FALSE | 0.4930 | TRUE | -0.0164 | TRUE | 0.4680 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2019-03-26 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0908 | 30 | 0.1029 | 403.3 | 340.00 | TRUE | 2.5300 | 1.0300 | 3.550 | TRUE | 2.230 | TRUE | 0.2890 | FALSE | 0.3470 | FALSE | 2.7900 | TRUE | -0.0161 | TRUE | 2.7650 | 151764.000 | 0.1231 | 0.1033 | 61.2115 | 0.5388 | 0.3384 | 134.9468 | 1.1878 | 0.7461 | 9.4434 | 0.0831 | 0.0522 | NA | NA | NA | NA | cover |
| 2019-04-05 | TRUE | HB | INST | NA | NA | 0.0914 | 55 | 0.0973 | 107.3 | 57.60 | TRUE | 1.3200 | 0.2160 | 1.530 | TRUE | 0.846 | FALSE | 0.3250 | FALSE | 0.4960 | TRUE | 0.8230 | TRUE | -0.0192 | TRUE | 0.8215 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.94 | 100.2 | 68.0 | 21.0 | cover |
| 2019-04-05 | TRUE | PB | INST | NA | NA | 0.0906 | 50 | 0.1130 | 448.0 | 698.00 | TRUE | 3.2800 | 0.5290 | 3.810 | TRUE | 3.040 | FALSE | 0.1320 | FALSE | 0.3660 | TRUE | 2.2300 | TRUE | -0.0129 | TRUE | 2.2285 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7.93 | 81.7 | 716.9 | 16.9 | cover |
| 2019-04-06 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0916 | 35 | 0.1391 | 1357.1 | 1176.00 | TRUE | 4.4700 | 4.4500 | 8.920 | TRUE | 8.444 | FALSE | -0.0009 | FALSE | 0.8090 | TRUE | 2.0900 | TRUE | -0.0245 | TRUE | 2.0650 | 157406.000 | 0.1276 | 0.0685 | 213.6224 | 1.4041 | 1.3291 | 470.9520 | 3.0954 | 2.9302 | 21.0623 | 0.1384 | 0.1310 | NA | NA | NA | NA | cover |
| 2019-04-06 | TRUE | CAR2 | EOF | CAR | FBM | 0.0917 | 40 | 0.1932 | 2537.5 | 2130.00 | TRUE | 6.4300 | 2.4300 | 8.860 | TRUE | 9.920 | FALSE | 0.5470 | FALSE | 0.9630 | TRUE | 4.2900 | TRUE | 0.0457 | TRUE | 4.2650 | 163006.000 | 0.1322 | 0.0678 | 413.6277 | 1.4442 | 1.6170 | 911.8837 | 3.1840 | 3.5649 | 38.9694 | 0.1361 | 0.1523 | NA | NA | NA | NA | cover |
| 2019-04-06 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0892 | 30 | 0.1290 | 1326.7 | 1352.00 | TRUE | 2.8600 | 0.5610 | 3.420 | TRUE | 5.960 | FALSE | -0.0031 | FALSE | 0.2010 | TRUE | 0.4300 | TRUE | -0.0324 | TRUE | 0.4050 | 1312552.000 | 1.0643 | 0.6708 | 1741.3190 | 4.4889 | 7.8228 | 3838.9118 | 9.8963 | 17.2462 | 201.6235 | 0.5198 | 0.9058 | NA | NA | NA | NA | cover |
| 2019-04-06 | TRUE | MUR2 | EOF | MUR | FBM | 0.0891 | 35 | 0.1870 | 2797.1 | 3105.00 | TRUE | 5.3100 | -0.5600 | 4.750 | TRUE | 7.460 | FALSE | -0.0084 | FALSE | 0.1340 | TRUE | 1.3900 | TRUE | -0.0105 | TRUE | 1.3650 | 981228.000 | 0.7956 | 0.5854 | 2744.6349 | 4.6608 | 7.3200 | 6050.8221 | 10.2753 | 16.1376 | 375.1285 | 0.6370 | 1.0005 | NA | NA | NA | NA | cover |
| 2019-04-06 | TRUE | SCH2 | EOF | SCH | FBM | 0.0911 | 30 | 0.1191 | 933.3 | 674.00 | TRUE | 2.1700 | 8.0100 | 10.200 | TRUE | 8.120 | FALSE | 3.3000 | FALSE | 1.4600 | TRUE | 0.8580 | TRUE | -0.0223 | TRUE | 0.8330 | 511082.000 | 0.4144 | 0.5453 | 477.0099 | 5.2130 | 4.1500 | 1051.6160 | 11.4927 | 9.1491 | 115.3088 | 1.2602 | 1.0032 | NA | NA | NA | NA | cover |
| 2019-04-06 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0902 | 45 | 0.1370 | 1040.0 | 986.00 | TRUE | 3.2300 | 0.9380 | 4.170 | TRUE | 3.520 | FALSE | 0.1100 | FALSE | 0.1120 | TRUE | 1.6500 | TRUE | -0.0181 | TRUE | 1.6250 | 563390.000 | 0.4568 | 0.3836 | 585.9256 | 2.3493 | 1.9831 | 1291.7316 | 5.1793 | 4.3720 | 90.3941 | 0.3624 | 0.3059 | NA | NA | NA | NA | cover |
| 2019-04-08 | TRUE | HB | INST | NA | NA | 0.0908 | 39 | 0.0978 | 179.5 | 233.00 | TRUE | 0.6080 | 0.3870 | 0.994 | TRUE | 1.160 | TRUE | -0.0335 | FALSE | 0.1160 | TRUE | 0.0511 | TRUE | -0.0259 | TRUE | 0.0496 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.99 | 96.4 | 213.9 | 18.5 | cover |
| 2019-04-08 | TRUE | PB | INST | NA | NA | 0.0913 | 35 | 0.1398 | 1385.7 | 2280.00 | TRUE | 3.6100 | 2.2700 | 5.880 | TRUE | 3.810 | TRUE | 0.0185 | FALSE | 0.1040 | TRUE | 0.9420 | TRUE | -0.0179 | TRUE | 0.9405 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.84 | 93.8 | 2301.0 | 17.9 | cover |
| 2019-04-10 | TRUE | CAR2 | EOF | CAR | FBM | 0.0902 | 20 | 0.1557 | 3275.0 | 4020.00 | TRUE | 5.6000 | 3.8600 | 9.470 | TRUE | 13.900 | TRUE | 0.0088 | FALSE | 0.2600 | TRUE | 0.9850 | TRUE | -0.0106 | TRUE | 0.9600 | 3285448.000 | 2.6640 | 1.3661 | 10759.8422 | 31.1132 | 45.6677 | 23721.1481 | 68.5921 | 100.6791 | 1013.7243 | 2.9313 | 4.3025 | NA | NA | NA | NA | cover |
| 2019-04-10 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0897 | 21 | 0.1821 | 4400.0 | 6170.00 | TRUE | 5.6600 | 3.9200 | 9.590 | TRUE | 11.100 | TRUE | 0.0172 | FALSE | 0.1280 | TRUE | 0.1590 | TRUE | 0.1210 | TRUE | 0.0380 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2019-04-10 | TRUE | MUR2 | EOF | MUR | FBM | 0.0911 | 20 | 0.1967 | 5280.0 | 9780.00 | TRUE | 7.9800 | 4.0100 | 12.000 | TRUE | 9.560 | TRUE | -0.0319 | FALSE | 0.1500 | TRUE | 0.3640 | TRUE | -0.0236 | TRUE | 0.3390 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2019-04-10 | TRUE | SCH2 | EOF | SCH | FBM | 0.0906 | 45 | 0.1177 | 602.2 | 919.00 | TRUE | 2.5700 | 5.4900 | 8.060 | TRUE | 3.750 | TRUE | 2.5400 | FALSE | 0.4530 | TRUE | 1.2500 | TRUE | 0.0131 | TRUE | 1.2250 | 1190294.000 | 0.9651 | 1.2699 | 716.8215 | 9.5938 | 4.4636 | 1580.3047 | 21.1504 | 9.8405 | 173.2790 | 2.3191 | 1.0790 | NA | NA | NA | NA | cover |
| 2019-04-10 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0923 | 40 | 0.1142 | 547.5 | 826.00 | TRUE | 1.5100 | 1.0800 | 2.590 | TRUE | 2.510 | TRUE | 0.6060 | FALSE | 2.1500 | TRUE | 0.0240 | TRUE | -0.0401 | TRUE | -0.0010 | 4339433.000 | 3.5186 | 2.9547 | 2375.8396 | 11.2391 | 10.8920 | 5237.7759 | 24.7778 | 24.0125 | 366.5344 | 1.7339 | 1.6804 | NA | NA | NA | NA | cover |
| 2019-04-26 | TRUE | HB | INST | NA | NA | 0.0905 | 50 | 0.0953 | 96.0 | 126.00 | TRUE | 1.2500 | 0.3210 | 1.570 | TRUE | 1.690 | FALSE | 0.1740 | TRUE | 0.5420 | TRUE | 0.6470 | TRUE | -0.0117 | TRUE | 0.6455 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.47 | 90.2 | 173.7 | 18.5 | cover |
| 2019-04-27 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0894 | 50 | 0.0942 | 96.0 | 72.00 | TRUE | 13.4000 | 3.4600 | 16.800 | TRUE | 1.200 | FALSE | 2.6100 | TRUE | 0.0798 | TRUE | 11.3000 | TRUE | 0.1690 | TRUE | 11.1310 | 1419139.000 | 1.1507 | 0.6175 | 136.2373 | 23.8415 | 1.7030 | 300.3488 | 52.5610 | 3.7544 | 13.4324 | 2.3507 | 0.1679 | NA | NA | NA | NA | cover |
| 2019-04-27 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0896 | 50 | 0.1877 | 1962.0 | 2430.00 | TRUE | 4.5300 | 1.3000 | 5.830 | TRUE | 7.550 | FALSE | 0.1000 | TRUE | 0.1530 | TRUE | 1.1300 | TRUE | -0.0127 | TRUE | 1.1050 | 195761.000 | 0.1587 | 0.1000 | 384.0831 | 1.1413 | 1.4780 | 846.7496 | 2.5161 | 3.2584 | 44.4721 | 0.1321 | 0.1711 | NA | NA | NA | NA | cover |
| 2019-04-27 | TRUE | MUR2 | EOF | MUR | FBM | 0.0914 | 50 | 0.1932 | 2036.0 | 3015.00 | TRUE | 4.6400 | -0.4360 | 4.200 | TRUE | 5.440 | FALSE | 0.0163 | TRUE | 0.1470 | TRUE | 0.6870 | TRUE | -0.0190 | TRUE | 0.6620 | 40259.000 | 0.0326 | 0.0240 | 81.9673 | 0.1691 | 0.2190 | 180.7052 | 0.3728 | 0.4828 | 11.2030 | 0.0231 | 0.0299 | NA | NA | NA | NA | cover |
| 2019-04-27 | TRUE | SCH2 | EOF | SCH | FBM | 0.0904 | 50 | 0.1197 | 586.0 | 472.50 | TRUE | 2.2800 | 0.9990 | 3.280 | TRUE | 3.560 | FALSE | 0.6620 | TRUE | 0.4660 | TRUE | 1.2500 | TRUE | -0.0116 | TRUE | 1.2250 | 854956.000 | 0.6932 | 0.9121 | 501.0042 | 2.8043 | 3.0436 | 1104.5139 | 6.1823 | 6.7100 | 121.1090 | 0.6779 | 0.7357 | NA | NA | NA | NA | cover |
| 2019-04-27 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0905 | 50 | 0.1124 | 438.0 | 508.50 | TRUE | 2.9000 | 0.6570 | 3.560 | TRUE | 1.510 | FALSE | 0.1770 | TRUE | 0.0692 | TRUE | 1.8000 | TRUE | -0.0095 | TRUE | 1.7750 | 124262.000 | 0.1008 | 0.0846 | 54.4268 | 0.4424 | 0.1876 | 119.9892 | 0.9753 | 0.4137 | 8.3967 | 0.0682 | 0.0289 | NA | NA | NA | NA | cover |
| 2019-05-07 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0912 | 41 | 0.1222 | 756.1 | 811.50 | TRUE | 9.3300 | 3.7800 | 13.100 | TRUE | 3.640 | TRUE | 5.2100 | TRUE | 0.0960 | TRUE | 8.6200 | TRUE | 0.2400 | TRUE | 8.3800 | 601610.000 | 0.4878 | 0.4023 | 454.8759 | 7.8811 | 2.1899 | 1002.8193 | 17.3747 | 4.8278 | 68.9223 | 1.1941 | 0.3318 | NA | NA | NA | NA | cash |
| 2019-05-07 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0928 | 40 | 0.0981 | 132.5 | 77.40 | TRUE | 1.9000 | 0.6770 | 2.580 | TRUE | 1.280 | TRUE | 0.1350 | TRUE | 0.1850 | TRUE | 1.4300 | TRUE | -0.0116 | TRUE | 1.4050 | 2274674.000 | 1.8444 | 0.9898 | 301.3943 | 5.8687 | 2.9116 | 664.4539 | 12.9380 | 6.4189 | 29.7162 | 0.5786 | 0.2871 | NA | NA | NA | NA | cash |
| 2019-05-07 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0923 | 40 | 0.1308 | 962.5 | 1014.00 | TRUE | 5.4300 | 0.9470 | 6.380 | TRUE | 4.430 | TRUE | 0.0180 | TRUE | 0.2690 | TRUE | 3.6400 | TRUE | -0.0123 | TRUE | 3.6150 | 1351920.000 | 1.0962 | 0.6909 | 1301.2230 | 8.6252 | 5.9890 | 2868.6762 | 19.0152 | 13.2034 | 150.6658 | 0.9987 | 0.6935 | NA | NA | NA | NA | cash |
| 2019-05-07 | TRUE | MUR2 | EOF | MUR | FBM | 0.0903 | 20 | 0.1070 | 835.0 | 1021.50 | TRUE | 5.5800 | 0.7390 | 6.320 | TRUE | 3.900 | TRUE | 0.0228 | TRUE | 0.1540 | TRUE | 3.8200 | TRUE | -0.0112 | TRUE | 3.7950 | 851307.000 | 0.6903 | 0.5079 | 710.8413 | 5.3803 | 3.3201 | 1567.1208 | 11.8613 | 7.3195 | 97.1557 | 0.7354 | 0.4538 | NA | NA | NA | NA | cash |
| 2019-05-07 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0929 | 30 | 0.2148 | 4063.3 | 1965.00 | TRUE | 2.5700 | 3.0800 | 5.650 | TRUE | 7.550 | TRUE | 0.3630 | TRUE | 0.1690 | TRUE | 0.3780 | TRUE | -0.0166 | TRUE | 0.3765 | 173089.000 | 0.1403 | 0.0321 | 703.3183 | 0.9780 | 1.3068 | 1550.5355 | 2.1560 | 2.8810 | 29.5960 | 0.0412 | 0.0550 | NA | NA | NA | NA | cash |
| 2019-05-07 | TRUE | SCH2 | EOF | SCH | FBM | 0.0906 | 40 | 0.1213 | 767.5 | 765.00 | TRUE | 2.1800 | 1.0300 | 3.210 | TRUE | 3.790 | TRUE | 0.9300 | TRUE | 0.5370 | TRUE | 1.1600 | TRUE | -0.0040 | TRUE | 1.1350 | 949065.000 | 0.7695 | 1.0126 | 728.4074 | 3.0465 | 3.5970 | 1605.8469 | 6.7163 | 7.9298 | 176.0797 | 0.7364 | 0.8695 | NA | NA | NA | NA | cash |
| 2019-05-20 | TRUE | PB | INST | NA | NA | 2.6672 | 30 | 2.6768 | 320.0 | 591.00 | TRUE | 0.9880 | 0.4960 | 1.480 | TRUE | 2.080 | TRUE | 0.2940 | TRUE | 0.1180 | TRUE | 0.2740 | TRUE | -0.0062 | TRUE | 0.2725 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 6.28 | 84.8 | 617.5 | 31.1 | cash |
| 2019-05-21 | TRUE | ARR1 | EOF | ARR | CCMT | 2.7095 | 30 | 2.7526 | 1436.7 | 1670.00 | TRUE | 4.2500 | 5.5400 | 9.790 | TRUE | 2.080 | TRUE | 3.2800 | TRUE | 0.0470 | TRUE | 2.5900 | TRUE | 0.0544 | TRUE | 2.5356 | 150449.000 | 0.1220 | 0.1006 | 216.1451 | 1.4729 | 0.3129 | 476.5134 | 3.2471 | 0.6899 | 32.7501 | 0.2232 | 0.0474 | NA | NA | NA | NA | cash |
| 2019-05-21 | TRUE | CAR1 | EOF | CAR | CCMT | 2.6715 | 50 | 2.6785 | 140.0 | 181.00 | TRUE | 2.4500 | 2.9600 | 5.410 | TRUE | 4.010 | TRUE | 0.9770 | TRUE | 1.2600 | TRUE | 1.2300 | TRUE | 0.0694 | TRUE | 1.1606 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-05-21 | TRUE | PBR1 | EOF | PBR | CCMT | 2.6259 | 30 | 2.6478 | 730.0 | 554.00 | TRUE | 2.6200 | 0.6680 | 3.290 | TRUE | 2.830 | TRUE | 1.2700 | TRUE | 0.0641 | TRUE | 2.0300 | TRUE | 0.1160 | TRUE | 1.9140 | 106340.000 | 0.0862 | 0.0197 | 77.6282 | 0.3499 | 0.3009 | 171.1391 | 0.7713 | 0.6635 | 3.2666 | 0.0147 | 0.0127 | NA | NA | NA | NA | cash |
| 2019-05-21 | TRUE | SCH1 | EOF | SCH | CCMT | 2.6803 | 30 | 2.6868 | 216.7 | 245.00 | TRUE | 12.4000 | 169.0000 | 181.000 | TRUE | 2.540 | TRUE | 10.3000 | TRUE | 0.5670 | TRUE | 9.4000 | TRUE | 0.0435 | TRUE | 9.3750 | 42361.000 | 0.0343 | 0.0397 | 9.1782 | 7.6673 | 0.1076 | 20.2343 | 16.9034 | 0.2372 | 1.9494 | 1.6285 | 0.0229 | NA | NA | NA | NA | cash |
| 2019-05-21 | TRUE | SCH2 | EOF | SCH | FBM | 2.7034 | 20 | 2.7063 | 145.0 | 111.00 | TRUE | 3.1500 | 45.5000 | 48.600 | TRUE | 2.860 | TRUE | 5.6600 | TRUE | 0.9940 | TRUE | 3.5700 | TRUE | 0.0435 | TRUE | 3.5450 | 32708.000 | 0.0265 | 0.0349 | 4.7427 | 1.5896 | 0.0935 | 10.4557 | 3.5045 | 0.2062 | 1.1465 | 0.3843 | 0.0226 | NA | NA | NA | NA | cash |
| 2019-05-21 | TRUE | SIM1 | EOF | SIM | CCMT | 2.6999 | 50 | 2.9117 | 4236.0 | 3850.00 | TRUE | 4.9500 | 1.1000 | 6.050 | TRUE | 9.660 | TRUE | 0.4810 | TRUE | 0.0253 | TRUE | 1.1300 | TRUE | 0.0129 | TRUE | 1.1050 | 720789.000 | 0.5844 | 0.4908 | 3053.2622 | 4.3608 | 6.9628 | 6731.2219 | 9.6138 | 15.3502 | 471.0442 | 0.6728 | 1.0742 | NA | NA | NA | NA | cash |
| 2019-05-21 | TRUE | SIM2 | EOF | SIM | FBM | 2.7109 | 50 | 2.8804 | 3390.0 | 4040.00 | TRUE | 4.0900 | 4.3300 | 8.420 | TRUE | 7.430 | TRUE | 1.9800 | TRUE | 0.0048 | TRUE | 0.5560 | TRUE | 0.0032 | TRUE | 0.5310 | 1313953.000 | 1.0654 | 0.7268 | 4454.3007 | 11.0635 | 9.7627 | 9819.9513 | 24.3906 | 21.5228 | 558.2690 | 1.3866 | 1.2236 | NA | NA | NA | NA | cash |
| 2019-06-04 | TRUE | ARR2 | EOF | ARR | FBM | 0.0910 | 40 | 0.1368 | 1145.0 | 835.00 | TRUE | 2.6900 | 5.1200 | 7.810 | TRUE | 4.320 | TRUE | 2.3000 | TRUE | 0.2110 | TRUE | 1.9700 | TRUE | 0.1310 | TRUE | 1.8390 | 122747.000 | 0.0995 | 0.0772 | 140.5453 | 0.9587 | 0.5303 | 309.8462 | 2.1134 | 1.1690 | 20.0159 | 0.1365 | 0.0755 | NA | NA | NA | NA | cash |
| 2019-06-04 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0913 | 40 | 0.1044 | 327.5 | 132.00 | TRUE | 0.6710 | 1.9700 | 2.640 | TRUE | 3.080 | TRUE | 0.8770 | TRUE | 0.9310 | TRUE | 0.4310 | TRUE | 0.0025 | TRUE | 0.4295 | 274433.000 | 0.2225 | 0.0510 | 89.8768 | 0.7245 | 0.8453 | 198.1424 | 1.5972 | 1.8634 | 3.7821 | 0.0305 | 0.0356 | NA | NA | NA | NA | cash |
| 2019-06-04 | TRUE | PBR2 | EOF | PBR | FBM | 0.0929 | 40 | 0.1256 | 817.5 | 262.00 | TRUE | 0.5950 | 2.2800 | 2.880 | TRUE | 2.210 | TRUE | 0.3340 | TRUE | 0.1560 | TRUE | 0.2190 | TRUE | -0.0012 | TRUE | 0.2175 | 4948.000 | 0.0040 | 0.0020 | 4.0450 | 0.0143 | 0.0109 | 8.9176 | 0.0314 | 0.0241 | 0.3733 | 0.0013 | 0.0010 | NA | NA | NA | NA | cash |
| 2019-06-04 | TRUE | SCH2 | EOF | SCH | FBM | 0.0909 | 40 | 0.0992 | 207.5 | 92.10 | TRUE | 3.1400 | 3.3500 | 6.490 | TRUE | 1.730 | TRUE | 3.6900 | TRUE | 0.3810 | TRUE | 2.9300 | TRUE | 0.2020 | TRUE | 2.7280 | 798752.000 | 0.6477 | 0.8522 | 165.7410 | 5.1839 | 1.3818 | 365.3927 | 11.4284 | 3.0464 | 40.0650 | 1.2531 | 0.3340 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0933 | 40 | 0.1108 | 437.5 | 290.00 | TRUE | 12.4000 | 1.7800 | 14.200 | TRUE | 1.720 | TRUE | 2.9100 | TRUE | 0.0342 | TRUE | 11.5000 | TRUE | 0.1430 | TRUE | 11.3570 | 767239.000 | 0.6221 | 0.5131 | 335.6671 | 10.8948 | 1.3197 | 740.0116 | 24.0187 | 2.9093 | 50.8599 | 1.6508 | 0.2000 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | ARR2 | EOF | ARR | FBM | 0.0928 | 40 | 0.1098 | 425.0 | 291.00 | TRUE | 13.1000 | 1.2800 | 14.400 | TRUE | 1.570 | TRUE | 1.9500 | TRUE | 0.0528 | TRUE | 11.8000 | TRUE | 0.0831 | TRUE | 11.7169 | 829225.000 | 0.6724 | 0.5212 | 352.4206 | 11.9408 | 1.3019 | 776.9465 | 26.3248 | 2.8701 | 50.1903 | 1.7006 | 0.1854 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0941 | 40 | 0.1024 | 207.5 | 82.40 | TRUE | 1.2500 | 3.0400 | 4.290 | TRUE | 1.780 | TRUE | 0.6470 | TRUE | 0.3310 | TRUE | 1.2200 | TRUE | 0.1590 | TRUE | 1.0610 | 53684.000 | 0.0435 | 0.0100 | 11.1394 | 0.2303 | 0.0956 | 24.5580 | 0.5077 | 0.2107 | 0.4688 | 0.0097 | 0.0040 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | PBR2 | EOF | PBR | FBM | 0.0913 | 40 | 0.1016 | 257.5 | 66.20 | TRUE | 0.6110 | 2.3600 | 2.970 | TRUE | 1.360 | TRUE | 0.3370 | TRUE | 0.1370 | TRUE | 0.4880 | TRUE | 0.0282 | TRUE | 0.4598 | 34117.000 | 0.0277 | 0.0139 | 8.7851 | 0.1013 | 0.0464 | 19.3677 | 0.2234 | 0.1023 | 0.8107 | 0.0094 | 0.0043 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0911 | 40 | 0.0925 | 35.0 | 51.50 | TRUE | 36.5000 | 39.1000 | 75.600 | TRUE | 1.750 | TRUE | 16.3000 | TRUE | 0.5280 | TRUE | 30.9000 | TRUE | 0.2410 | TRUE | 30.6590 | 294351.000 | 0.2387 | 0.2759 | 10.3023 | 22.2529 | 0.5151 | 22.7124 | 49.0588 | 1.1356 | 2.1881 | 4.7263 | 0.1094 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | SCH2 | EOF | SCH | FBM | 0.0917 | 40 | 0.0983 | 165.0 | 123.00 | TRUE | 12.6000 | 30.7000 | 43.200 | TRUE | 3.010 | TRUE | 10.3000 | TRUE | 0.9640 | TRUE | 10.7000 | TRUE | 0.1370 | TRUE | 10.5630 | 859837.000 | 0.6972 | 0.9174 | 141.8731 | 37.1450 | 2.5881 | 312.7734 | 81.8898 | 5.7057 | 34.2953 | 8.9791 | 0.6256 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0935 | 40 | 0.2599 | 4160.0 | 1270.00 | TRUE | 4.4500 | 1.6700 | 6.110 | TRUE | 3.830 | TRUE | 0.4350 | TRUE | 0.0525 | TRUE | 2.6400 | TRUE | 0.0037 | TRUE | 2.6150 | 13116.000 | 0.0106 | 0.0089 | 54.5626 | 0.0801 | 0.0502 | 120.2886 | 0.1767 | 0.1107 | 8.4177 | 0.0124 | 0.0077 | NA | NA | NA | NA | cash |
| 2019-06-09 | TRUE | SIM2 | EOF | SIM | FBM | 0.0922 | 40 | 0.3288 | 5915.0 | 6690.00 | TRUE | 6.0600 | 0.7220 | 6.780 | TRUE | 13.600 | TRUE | 0.0797 | TRUE | 0.0306 | TRUE | 0.6420 | TRUE | -0.0138 | TRUE | 0.6170 | 1127.000 | 0.0009 | 0.0006 | 6.6662 | 0.0076 | 0.0153 | 14.6963 | 0.0168 | 0.0338 | 0.8355 | 0.0010 | 0.0019 | NA | NA | NA | NA | cash |
| 2019-06-18 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0927 | 40 | 0.3270 | 5857.5 | 9530.00 | TRUE | 10.7000 | 4.2100 | 14.900 | TRUE | 19.400 | TRUE | 0.0791 | TRUE | 0.3620 | TRUE | 2.6100 | TRUE | -0.0144 | TRUE | 2.5850 | 20980.000 | 0.0170 | 0.0107 | 122.8904 | 0.3126 | 0.4070 | 270.9241 | 0.6892 | 0.8973 | 14.2292 | 0.0362 | 0.0471 | NA | NA | NA | NA | cash |
| 2019-06-18 | TRUE | MUR2 | EOF | MUR | FBM | 0.0944 | 40 | 0.3342 | 5995.0 | 8350.00 | TRUE | 10.7000 | 3.9600 | 14.600 | TRUE | 20.400 | TRUE | 0.0910 | TRUE | 0.2660 | TRUE | 3.4700 | TRUE | -0.0113 | TRUE | 3.4450 | 10085.000 | 0.0082 | 0.0060 | 60.4596 | 0.1472 | 0.2057 | 133.2892 | 0.3246 | 0.4536 | 8.2634 | 0.0201 | 0.0281 | NA | NA | NA | NA | cash |
| 2019-06-18 | TRUE | PB | INST | NA | NA | 0.0929 | 45 | 0.1100 | 380.0 | 820.00 | TRUE | 2.6000 | 2.6800 | 5.290 | TRUE | 2.880 | TRUE | 1.1500 | TRUE | 0.2390 | TRUE | 1.1700 | TRUE | 0.0029 | TRUE | 1.1685 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.77 | 75.1 | 715.5 | 28.8 | cash |
| 2019-06-18 | TRUE | PBR2 | EOF | PBR | FBM | 0.0950 | 20 | 0.0945 | -25.0 | 11.00 | TRUE | 0.3350 | 1.2600 | 1.600 | TRUE | 0.638 | TRUE | 0.2000 | TRUE | 0.0264 | TRUE | 0.0709 | TRUE | -0.0158 | TRUE | 0.0694 | 11794.000 | 0.0096 | 0.0048 | -0.2948 | 0.0189 | 0.0075 | -0.6500 | 0.0416 | 0.0166 | -0.0272 | 0.0017 | 0.0007 | NA | NA | NA | NA | cash |
| 2019-06-20 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0937 | 35 | 0.1000 | 180.0 | 203.00 | TRUE | 2.3900 | 1.9300 | 4.320 | TRUE | 2.080 | TRUE | 0.3120 | TRUE | 0.4070 | TRUE | 1.8000 | TRUE | 0.0129 | TRUE | 1.7750 | 512277.000 | 0.4154 | 0.2229 | 92.2099 | 2.2130 | 1.0655 | 203.2859 | 4.8789 | 2.3491 | 9.0915 | 0.2182 | 0.1051 | NA | NA | NA | NA | cash |
| 2019-06-20 | TRUE | PB | INST | NA | NA | 0.0918 | 35 | 0.1150 | 662.9 | 1190.00 | TRUE | 4.2300 | 2.9600 | 7.190 | TRUE | 3.890 | TRUE | 0.7220 | TRUE | 0.1940 | TRUE | 3.0000 | TRUE | 0.0117 | TRUE | 2.9883 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.87 | 78.4 | 1083.9 | 30.2 | cash |
| 2019-06-20 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0916 | 35 | 0.1158 | 691.4 | 751.00 | TRUE | 2.5300 | 4.0100 | 6.530 | TRUE | 4.640 | TRUE | 0.2400 | TRUE | 0.5740 | TRUE | 1.5500 | TRUE | 0.0043 | TRUE | 1.5457 | 26652.000 | 0.0216 | 0.0049 | 18.4280 | 0.1740 | 0.1237 | 40.6263 | 0.3837 | 0.2726 | 0.7755 | 0.0073 | 0.0052 | NA | NA | NA | NA | cash |
| 2019-06-20 | TRUE | PBR2 | EOF | PBR | FBM | 0.0904 | 35 | 0.0937 | 94.3 | 33.00 | TRUE | 0.1650 | 1.1900 | 1.350 | TRUE | 0.796 | TRUE | 0.1810 | TRUE | 0.1210 | TRUE | 0.0346 | TRUE | -0.0144 | TRUE | 0.0331 | 98956.000 | 0.0802 | 0.0403 | 9.3301 | 0.1336 | 0.0788 | 20.5692 | 0.2945 | 0.1737 | 0.8610 | 0.0123 | 0.0073 | NA | NA | NA | NA | cash |
| 2019-06-20 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0948 | 35 | 0.1027 | 225.7 | 61.70 | TRUE | 8.3400 | 4.9900 | 13.300 | TRUE | 1.260 | TRUE | 2.1900 | TRUE | 0.2470 | TRUE | 9.2200 | TRUE | 0.1440 | TRUE | 9.0760 | 855180.000 | 0.6934 | 0.8016 | 193.0263 | 11.3739 | 1.0775 | 425.5459 | 25.0749 | 2.3755 | 40.9967 | 2.4157 | 0.2289 | NA | NA | NA | NA | cash |
| 2019-06-20 | TRUE | SCH2 | EOF | SCH | FBM | 0.0950 | 35 | 0.1014 | 182.9 | 41.10 | TRUE | 5.1000 | 1.6500 | 6.750 | TRUE | 1.280 | TRUE | 0.7050 | TRUE | 0.3000 | TRUE | 5.9400 | TRUE | 0.0689 | TRUE | 5.8711 | 518283.000 | 0.4202 | 0.5530 | 94.7717 | 3.4984 | 0.6634 | 208.9338 | 7.7126 | 1.4625 | 22.9094 | 0.8457 | 0.1604 | NA | NA | NA | NA | cash |
| 2019-06-20 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0921 | 20 | 0.1226 | 1525.0 | 2040.00 | TRUE | 8.0300 | 1.0900 | 9.110 | TRUE | 4.360 | TRUE | 0.2000 | TRUE | 0.0653 | TRUE | 5.7400 | TRUE | -0.0026 | TRUE | 5.7150 | 84869.000 | 0.0688 | 0.0578 | 129.4252 | 0.7732 | 0.3700 | 285.3309 | 1.7045 | 0.8158 | 19.9672 | 0.1193 | 0.0571 | NA | NA | NA | NA | cash |
| 2019-06-24 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0932 | 40 | 0.0989 | 142.5 | 156.00 | TRUE | 1.6500 | 6.6400 | 8.280 | TRUE | 0.837 | TRUE | 0.4570 | TRUE | 0.0718 | TRUE | 8.6800 | TRUE | 0.0301 | TRUE | 8.6499 | 2520102.000 | 2.0434 | 1.6853 | 359.1145 | 20.8664 | 2.1093 | 791.7039 | 46.0022 | 4.6502 | 54.4126 | 3.1617 | 0.3196 | NA | NA | NA | NA | cash |
| 2019-06-24 | TRUE | ARR2 | EOF | ARR | FBM | 0.0938 | 40 | 0.1030 | 230.0 | 243.00 | TRUE | 0.8640 | 6.6600 | 7.530 | TRUE | 1.170 | TRUE | 0.4060 | TRUE | 0.0939 | TRUE | 8.0700 | TRUE | 0.0064 | TRUE | 8.0636 | 1935014.000 | 1.5690 | 1.2163 | 445.0532 | 14.5707 | 2.2640 | 981.1643 | 32.1225 | 4.9911 | 63.3827 | 2.0751 | 0.3224 | NA | NA | NA | NA | cash |
| 2019-06-24 | TRUE | HB | INST | NA | NA | 0.0930 | 80 | 0.0960 | 37.5 | 30.10 | TRUE | 7.6800 | 1.2700 | 8.950 | TRUE | 0.890 | TRUE | 1.5900 | TRUE | 0.3110 | TRUE | 8.7900 | TRUE | 0.2090 | TRUE | 8.5810 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 6.98 | 85.7 | 26.4 | 25.6 | cash |
| 2019-06-24 | TRUE | PB | INST | NA | NA | 0.0934 | 40 | 0.1131 | 492.5 | 766.00 | TRUE | 1.9100 | 1.1400 | 3.050 | TRUE | 3.210 | TRUE | 0.2920 | TRUE | 0.2420 | TRUE | 0.8970 | TRUE | -0.0042 | TRUE | 0.8955 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 6.17 | 72.9 | 680.7 | 23.5 | cash |
| 2019-06-24 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0914 | 80 | 0.0953 | 48.8 | 49.90 | TRUE | 0.2370 | 0.4480 | 0.685 | TRUE | 0.901 | TRUE | 0.0353 | TRUE | 0.2890 | TRUE | 0.1080 | TRUE | -0.0163 | TRUE | 0.1065 | 4212543.000 | 3.4157 | 0.7824 | 205.3615 | 2.8856 | 3.7955 | 452.7399 | 6.3616 | 8.3676 | 8.6417 | 0.1214 | 0.1597 | NA | NA | NA | NA | cash |
| 2019-06-24 | TRUE | PBR2 | EOF | PBR | FBM | 0.0929 | 80 | 0.1072 | 178.8 | 97.90 | TRUE | 0.0780 | 0.9690 | 1.050 | TRUE | 1.220 | TRUE | 0.0433 | TRUE | 0.1570 | TRUE | 0.2090 | TRUE | -0.0144 | TRUE | 0.2075 | 686809.000 | 0.5569 | 0.2797 | 122.7671 | 0.7211 | 0.8379 | 270.6524 | 1.5898 | 1.8472 | 11.3291 | 0.0665 | 0.0773 | NA | NA | NA | NA | cash |
| 2019-06-24 | TRUE | STU1 | EOF | STU | CCMT | 0.0925 | 40 | 0.1140 | 537.5 | 707.00 | TRUE | 0.7850 | 0.7360 | 1.520 | TRUE | 2.720 | TRUE | 0.1020 | TRUE | 0.2370 | TRUE | 0.1600 | TRUE | -0.0160 | TRUE | 0.1585 | 811922.000 | 0.6583 | 0.1082 | 436.4081 | 1.2341 | 2.2084 | 962.1052 | 2.7207 | 4.8687 | 13.1723 | 0.0373 | 0.0667 | NA | NA | NA | NA | cash |
| 2019-06-24 | TRUE | STU2 | EOF | STU | FBM | 0.0935 | 40 | 0.1039 | 260.0 | 231.00 | TRUE | 0.3290 | 0.5360 | 0.865 | TRUE | 1.450 | TRUE | 0.0285 | TRUE | 0.1190 | TRUE | 0.0277 | TRUE | -0.0232 | TRUE | 0.0262 | 145354.000 | 0.1179 | 0.0413 | 37.7920 | 0.1257 | 0.2108 | 83.3163 | 0.2772 | 0.4646 | 2.4333 | 0.0081 | 0.0136 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0954 | 40 | 0.1011 | 142.5 | 107.00 | TRUE | 0.0110 | 2.5400 | 2.550 | TRUE | 1.330 | TRUE | 0.2330 | TRUE | 0.3520 | TRUE | 0.3080 | TRUE | -0.0082 | TRUE | 0.2830 | 455968.000 | 0.3697 | 0.1984 | 64.9754 | 1.1627 | 0.6064 | 143.2449 | 2.5633 | 1.3370 | 6.4063 | 0.1146 | 0.0598 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | CAR2 | EOF | CAR | FBM | 0.0934 | 40 | 0.1150 | 540.0 | 452.00 | TRUE | 0.4890 | 2.5700 | 3.060 | TRUE | 2.520 | TRUE | 0.0541 | TRUE | 0.1940 | TRUE | 0.3790 | TRUE | -0.0088 | TRUE | 0.3540 | 715361.000 | 0.5800 | 0.2975 | 386.2949 | 2.1890 | 1.8027 | 851.6258 | 4.8259 | 3.9743 | 36.3943 | 0.2062 | 0.1698 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0954 | 20 | 0.1507 | 2765.0 | 3970.00 | TRUE | 4.0400 | 5.0100 | 9.060 | TRUE | 9.360 | TRUE | 0.0604 | TRUE | 0.2980 | TRUE | 0.3880 | TRUE | -0.0130 | TRUE | 0.3630 | 1980078.000 | 1.6055 | 1.0119 | 5474.9157 | 17.9395 | 18.5335 | 12069.9991 | 39.5494 | 40.8590 | 633.9285 | 2.0772 | 2.1460 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | MUR2 | EOF | MUR | FBM | 0.0950 | 20 | 0.1818 | 4340.0 | 5770.00 | TRUE | 4.5800 | 2.2400 | 6.830 | TRUE | 13.300 | TRUE | 0.0493 | TRUE | 0.2040 | TRUE | 0.5190 | TRUE | -0.0154 | TRUE | 0.4940 | 2388943.000 | 1.9371 | 1.4252 | 10368.0126 | 16.3165 | 31.7729 | 22857.3206 | 35.9713 | 70.0466 | 1417.0689 | 2.2301 | 4.3426 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0918 | 20 | 0.2330 | 7060.0 | 8320.00 | TRUE | 26.1000 | 5.9100 | 32.000 | TRUE | 3.180 | TRUE | 0.7900 | TRUE | 0.1930 | TRUE | 19.1000 | TRUE | 0.1990 | TRUE | 18.9010 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | SCH2 | EOF | SCH | FBM | 0.0957 | 40 | 0.1090 | 332.5 | 181.00 | TRUE | 1.4400 | 11.5000 | 12.900 | TRUE | 2.000 | TRUE | 0.8270 | TRUE | 0.8160 | TRUE | 11.3000 | TRUE | 0.0467 | TRUE | 11.2750 | 601273.000 | 0.4875 | 0.6415 | 199.9233 | 7.7564 | 1.2025 | 440.7508 | 17.0998 | 2.6511 | 48.3279 | 1.8750 | 0.2907 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0922 | 40 | 0.1196 | 685.0 | 854.00 | TRUE | 2.2000 | 0.7590 | 2.960 | TRUE | 2.150 | TRUE | 0.0755 | TRUE | 0.0809 | TRUE | 0.8120 | TRUE | -0.0086 | TRUE | 0.7870 | 1398409.000 | 1.1339 | 0.9522 | 957.9102 | 4.1393 | 3.0066 | 2111.8088 | 9.1255 | 6.6283 | 147.7823 | 0.6386 | 0.4638 | NA | NA | NA | NA | cash |
| 2019-06-25 | TRUE | SIM2 | EOF | SIM | FBM | 0.0913 | 40 | 0.1301 | 970.0 | 1390.00 | TRUE | 0.8520 | 2.0700 | 2.930 | TRUE | 2.050 | TRUE | 0.0771 | TRUE | 0.0354 | TRUE | 0.1260 | TRUE | -0.0174 | TRUE | 0.1010 | 3757183.000 | 3.0465 | 2.0783 | 3644.4675 | 11.0085 | 7.7022 | 8034.5931 | 24.2694 | 16.9803 | 456.7705 | 1.3797 | 0.9653 | NA | NA | NA | NA | cash |
| 2019-07-09 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0911 | 50 | 0.0966 | 110.0 | NA | FALSE | 0.1130 | 0.1600 | 0.273 | TRUE | 0.609 | TRUE | 0.0363 | TRUE | 0.0978 | TRUE | 0.0498 | TRUE | -0.0135 | TRUE | 0.0483 | 317765.000 | 0.2577 | 0.0590 | 34.9542 | 0.0867 | 0.1935 | 77.0599 | 0.1912 | 0.4266 | 1.4709 | 0.0037 | 0.0081 | NA | NA | NA | NA | cash |
| 2019-07-09 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0917 | 50 | 0.1056 | 278.0 | NA | FALSE | 1.8200 | 0.9610 | 2.780 | TRUE | 1.730 | TRUE | 0.2450 | TRUE | 0.2580 | TRUE | 1.5700 | TRUE | 0.0058 | TRUE | 1.5450 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-07-09 | TRUE | SCH2 | EOF | SCH | FBM | 0.0911 | 50 | 0.0941 | 60.0 | NA | FALSE | 0.6540 | 0.3790 | 1.030 | TRUE | 1.150 | TRUE | 0.3850 | TRUE | 0.2400 | TRUE | 0.5350 | TRUE | -0.0038 | TRUE | 0.5100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-07-17 | TRUE | HB | INST | NA | NA | 0.0928 | 100 | 0.0941 | 13.0 | 30.50 | TRUE | 0.7340 | 0.6320 | 1.370 | TRUE | 0.728 | TRUE | 0.2100 | TRUE | 0.2500 | TRUE | 0.4080 | TRUE | -0.0014 | TRUE | 0.4065 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.42 | 66.4 | 27.3 | 25.8 | cash |
| 2019-07-17 | TRUE | PB | INST | NA | NA | 0.0932 | 100 | 0.0969 | 37.0 | 69.60 | TRUE | 1.4400 | 1.1600 | 2.600 | TRUE | 0.821 | TRUE | 0.7140 | TRUE | 0.1490 | TRUE | 1.1700 | TRUE | 0.0552 | TRUE | 1.1148 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.16 | 124.9 | 82.6 | 31.9 | cash |
| 2019-07-30 | TRUE | HB | INST | NA | NA | 0.0910 | 50 | 0.0915 | 10.0 | 11.20 | TRUE | 0.5790 | 0.2270 | 0.806 | TRUE | 0.555 | TRUE | 0.1000 | TRUE | 0.1620 | TRUE | 0.3380 | TRUE | -0.0059 | TRUE | 0.3365 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.89 | 71.6 | 8.3 | 25.2 | cash |
| 2019-07-30 | TRUE | PB | INST | NA | NA | 0.0925 | 50 | 0.0977 | 104.0 | 156.00 | TRUE | 2.6900 | 0.2770 | 2.970 | TRUE | 1.000 | TRUE | 0.2220 | TRUE | 0.1770 | TRUE | 2.3200 | TRUE | 0.0538 | TRUE | 2.2662 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7.17 | 96.5 | 191.8 | 31.0 | cash |
| 2019-07-31 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0896 | 50 | 0.1068 | 344.0 | 257.00 | TRUE | 0.9720 | 0.9430 | 1.920 | TRUE | 1.570 | TRUE | 0.0576 | TRUE | 0.2180 | TRUE | 0.2460 | TRUE | -0.0055 | TRUE | 0.2445 | 516741.000 | 0.4190 | 0.3456 | 177.7589 | 0.9921 | 0.8113 | 391.8873 | 2.1873 | 1.7886 | 26.9338 | 0.1503 | 0.1229 | NA | NA | NA | NA | cash |
| 2019-07-31 | TRUE | ARR2 | EOF | ARR | FBM | 0.0896 | 50 | 0.1291 | 790.0 | 727.00 | TRUE | 1.3300 | 1.4400 | 2.760 | TRUE | 2.950 | TRUE | 0.0421 | TRUE | 0.1590 | TRUE | 0.0723 | TRUE | -0.0050 | TRUE | 0.0708 | 466537.000 | 0.3783 | 0.2932 | 368.5642 | 1.2876 | 1.3763 | 812.5367 | 2.8387 | 3.0342 | 52.4895 | 0.1834 | 0.1960 | NA | NA | NA | NA | cash |
| 2019-07-31 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0898 | 50 | 0.1309 | 822.0 | 363.00 | TRUE | 2.0600 | 2.0300 | 4.090 | TRUE | 3.700 | TRUE | 0.3330 | TRUE | 0.7410 | TRUE | 0.9350 | TRUE | -0.0037 | TRUE | 0.9335 | 35583.000 | 0.0289 | 0.0066 | 29.2492 | 0.1455 | 0.1317 | 64.4828 | 0.3208 | 0.2903 | 1.2308 | 0.0061 | 0.0055 | NA | NA | NA | NA | cash |
| 2019-07-31 | TRUE | PBR2 | EOF | PBR | FBM | 0.0925 | 50 | 0.1018 | 186.0 | 77.40 | TRUE | 0.8240 | 0.9480 | 1.770 | TRUE | 1.780 | TRUE | 0.0472 | TRUE | 0.3840 | TRUE | 0.2010 | TRUE | -0.0034 | TRUE | 0.1995 | 119581.000 | 0.0970 | 0.0487 | 22.2421 | 0.2117 | 0.2129 | 49.0349 | 0.4666 | 0.4693 | 2.0525 | 0.0195 | 0.0196 | NA | NA | NA | NA | cash |
| 2019-07-31 | TRUE | SCH2 | EOF | SCH | FBM | 0.0924 | 50 | 0.1008 | 168.0 | 60.40 | TRUE | 0.6920 | 0.5620 | 1.050 | TRUE | 1.480 | TRUE | 0.2420 | TRUE | 0.2840 | TRUE | 0.5040 | TRUE | 0.0122 | TRUE | 0.4790 | 2065022.000 | 1.6744 | 2.2032 | 346.9237 | 2.1683 | 3.0562 | 764.8280 | 4.7802 | 6.7378 | 83.8627 | 0.5241 | 0.7388 | NA | NA | NA | NA | cash |
| 2019-08-01 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0906 | 80 | 0.1073 | 208.8 | 111.00 | TRUE | 0.1690 | 0.3950 | 0.565 | TRUE | 0.715 | TRUE | 0.0446 | TRUE | 0.0296 | TRUE | 0.1960 | TRUE | -0.0190 | TRUE | 0.1710 | 1210702.000 | 0.9817 | 0.8244 | 252.7340 | 0.6840 | 0.8657 | 557.1775 | 1.5080 | 1.9084 | 38.9907 | 0.1055 | 0.1335 | NA | NA | NA | NA | cash |
| 2019-08-01 | TRUE | SIM2 | EOF | SIM | FBM | 0.0931 | 100 | 0.0950 | 19.0 | 14.20 | TRUE | 0.0540 | 0.2970 | 0.351 | TRUE | 0.207 | TRUE | -0.0241 | TRUE | 0.0016 | TRUE | 0.2520 | TRUE | -0.0209 | TRUE | 0.2270 | 2119516.000 | 1.7186 | 1.1724 | 40.2708 | 0.7440 | 0.4387 | 88.7810 | 1.6401 | 0.9672 | 5.0472 | 0.0932 | 0.0550 | NA | NA | NA | NA | cash |
| 2019-08-06 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0925 | 40 | 0.0992 | 167.5 | 90.90 | TRUE | 0.5950 | 0.5330 | 1.130 | TRUE | 1.020 | TRUE | -0.0486 | TRUE | 0.1050 | TRUE | 0.5250 | TRUE | -0.0221 | TRUE | 0.5000 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-06 | TRUE | MUR2 | EOF | MUR | FBM | 0.0899 | 40 | 0.1594 | 1737.5 | 1570.00 | TRUE | 2.0900 | 1.8400 | 3.920 | TRUE | 5.440 | TRUE | -0.0543 | TRUE | 0.1450 | TRUE | 0.1970 | TRUE | -0.0220 | TRUE | 0.1720 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-06 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0929 | 40 | 0.1064 | 337.5 | 361.00 | TRUE | 0.8880 | 0.9300 | 1.820 | TRUE | 1.350 | TRUE | 0.0102 | TRUE | 0.0239 | TRUE | 0.4920 | TRUE | -0.0175 | TRUE | 0.4670 | 724785.000 | 0.5877 | 0.4935 | 244.6149 | 1.3191 | 0.9785 | 539.2781 | 2.9081 | 2.1571 | 37.7381 | 0.2035 | 0.1510 | NA | NA | NA | NA | cash |
| 2019-08-06 | TRUE | SIM2 | EOF | SIM | FBM | 0.0919 | 40 | 0.1125 | 515.0 | 865.00 | TRUE | 0.9040 | 1.0700 | 1.980 | TRUE | 1.860 | TRUE | -0.0546 | TRUE | -0.0169 | TRUE | 0.2040 | TRUE | -0.0223 | TRUE | 0.1790 | 1208642.000 | 0.9800 | 0.6686 | 622.4506 | 2.3931 | 2.2481 | 1372.2547 | 5.2759 | 4.9561 | 78.0133 | 0.2999 | 0.2818 | NA | NA | NA | NA | cash |
| 2019-08-12 | TRUE | HB | INST | NA | NA | 0.0925 | 40 | 0.0955 | 75.0 | 113.00 | TRUE | 0.5420 | 0.6500 | 1.190 | TRUE | 1.220 | TRUE | 0.1790 | TRUE | 0.2850 | TRUE | 0.1090 | TRUE | -0.0220 | TRUE | 0.1075 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.19 | 65.7 | 133.0 | 27.3 | cash |
| 2019-08-12 | TRUE | PB | INST | NA | NA | 0.0925 | 40 | 0.0945 | 50.0 | 92.90 | TRUE | 0.4660 | 0.4610 | 0.927 | TRUE | 1.030 | TRUE | 0.1020 | TRUE | 0.1910 | TRUE | 0.1940 | TRUE | -0.0240 | TRUE | 0.1925 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 12.18 | 175.4 | 93.4 | 34.9 | cash |
| 2019-08-13 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0922 | 40 | 0.1059 | 342.5 | 206.00 | TRUE | 1.3300 | 1.1300 | 2.450 | TRUE | 1.840 | TRUE | 0.1690 | TRUE | 0.1790 | TRUE | 0.5360 | TRUE | -0.0183 | TRUE | 0.5345 | 162409.000 | 0.1317 | 0.1086 | 55.6251 | 0.3979 | 0.2988 | 122.6311 | 0.8772 | 0.6588 | 8.4283 | 0.0603 | 0.0453 | NA | NA | NA | NA | cash |
| 2019-08-13 | TRUE | ARR2 | EOF | ARR | FBM | 0.0920 | 40 | 0.1460 | 1350.0 | 1030.00 | TRUE | 2.1200 | 2.0500 | 4.170 | TRUE | 4.650 | TRUE | 0.0834 | TRUE | 0.0833 | TRUE | 0.1740 | TRUE | -0.0169 | TRUE | 0.1725 | 266114.000 | 0.2158 | 0.1673 | 359.2539 | 1.1097 | 1.2374 | 792.0111 | 2.4464 | 2.7280 | 51.1635 | 0.1580 | 0.1762 | NA | NA | NA | NA | cash |
| 2019-08-13 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0923 | 40 | 0.0951 | 70.0 | 41.60 | TRUE | 0.9130 | 0.5320 | 1.440 | TRUE | 1.540 | TRUE | 0.3280 | TRUE | 0.4640 | TRUE | 0.2370 | TRUE | -0.0177 | TRUE | 0.2355 | 108058.000 | 0.0876 | 0.0201 | 7.5641 | 0.1556 | 0.1664 | 16.6757 | 0.3430 | 0.3669 | 0.3183 | 0.0065 | 0.0070 | NA | NA | NA | NA | cash |
| 2019-08-13 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0916 | 40 | 0.1055 | 347.5 | 372.00 | TRUE | 2.1000 | 1.2300 | 3.340 | TRUE | 3.080 | TRUE | 0.1920 | TRUE | 0.4730 | TRUE | 0.9780 | TRUE | -0.0158 | TRUE | 0.9530 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-13 | TRUE | SCH2 | EOF | SCH | FBM | 0.0909 | 40 | 0.1819 | 2275.0 | 1640.00 | TRUE | 3.5300 | 3.1300 | 6.660 | TRUE | 8.470 | TRUE | 0.1200 | TRUE | 0.5120 | TRUE | 1.0800 | TRUE | -0.0143 | TRUE | 1.0550 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-13 | TRUE | STU1 | EOF | STU | CCMT | 0.0935 | 40 | 0.0994 | 147.5 | 57.00 | TRUE | 0.4200 | 0.3910 | 0.810 | TRUE | 0.997 | TRUE | 0.3890 | TRUE | 0.0674 | TRUE | 0.3520 | TRUE | 0.0203 | TRUE | 0.3317 | 3789746.000 | 3.0729 | 0.5049 | 558.9875 | 3.0697 | 3.7784 | 1232.3439 | 6.7674 | 8.3298 | 16.8722 | 0.0927 | 0.1140 | NA | NA | NA | NA | cash |
| 2019-08-13 | TRUE | STU2 | EOF | STU | FBM | 0.0909 | 20 | 0.0992 | 415.0 | 319.00 | TRUE | 0.8120 | 1.0200 | 1.840 | TRUE | 3.120 | TRUE | 0.0507 | TRUE | 0.1460 | TRUE | 0.3590 | TRUE | -0.0201 | TRUE | 0.3575 | 57382.000 | 0.0465 | 0.0163 | 23.8135 | 0.1056 | 0.1790 | 52.4993 | 0.2328 | 0.3947 | 1.5333 | 0.0068 | 0.0115 | NA | NA | NA | NA | cash |
| 2019-08-16 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0932 | 50 | 0.1029 | 194.0 | 70.80 | TRUE | 0.6710 | 0.6820 | 1.350 | TRUE | 1.800 | TRUE | 0.0721 | TRUE | 0.5460 | TRUE | 0.2390 | TRUE | -0.0193 | TRUE | 0.2375 | 568837.000 | 0.4612 | 0.1056 | 110.3544 | 0.7679 | 1.0239 | 243.2873 | 1.6930 | 2.2573 | 4.6438 | 0.0323 | 0.0431 | NA | NA | NA | NA | cash |
| 2019-08-16 | TRUE | PBR2 | EOF | PBR | FBM | 0.0936 | 50 | 0.0996 | 120.0 | 47.60 | TRUE | 0.7260 | 0.7190 | 1.450 | TRUE | 1.300 | TRUE | 0.0755 | TRUE | 0.3470 | TRUE | 0.3230 | TRUE | -0.0212 | TRUE | 0.3215 | 302378.000 | 0.2452 | 0.1232 | 36.2854 | 0.4384 | 0.3931 | 79.9947 | 0.9666 | 0.8666 | 3.3485 | 0.0405 | 0.0363 | NA | NA | NA | NA | cash |
| 2019-08-16 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0921 | 50 | 0.1007 | 172.0 | 132.00 | TRUE | 0.5080 | 0.7620 | 1.270 | TRUE | 0.745 | TRUE | 0.0488 | TRUE | 0.0058 | TRUE | 0.2830 | TRUE | -0.0233 | TRUE | 0.2580 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-16 | TRUE | SIM2 | EOF | SIM | FBM | 0.0934 | 50 | 0.0945 | 22.0 | 9.23 | TRUE | 0.2110 | 0.2940 | 0.505 | TRUE | 0.200 | TRUE | -0.0075 | TRUE | -0.0418 | TRUE | 0.1280 | TRUE | -0.0209 | TRUE | 0.1030 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-20 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0922 | 40 | 0.1032 | 275.0 | 144.00 | TRUE | 0.5110 | 0.5510 | 1.060 | TRUE | 1.620 | TRUE | 0.0190 | TRUE | 0.0751 | TRUE | 0.2810 | TRUE | -0.0043 | TRUE | 0.2560 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-20 | TRUE | MUR2 | EOF | MUR | FBM | 0.0914 | 40 | 0.1078 | 410.0 | 259.00 | TRUE | 0.8560 | 1.0500 | 1.910 | TRUE | 1.980 | TRUE | 0.0753 | TRUE | 0.1430 | TRUE | 0.4350 | TRUE | -0.0077 | TRUE | 0.4100 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-08-20 | TRUE | STU1 | EOF | STU | CCMT | 0.0906 | 40 | 0.0929 | 57.5 | 26.90 | TRUE | 0.2730 | 0.5200 | 0.793 | TRUE | 0.818 | TRUE | 0.2960 | TRUE | 0.0693 | TRUE | 0.2330 | TRUE | -0.0083 | TRUE | 0.2315 | 3240710.000 | 2.6277 | 0.4317 | 186.3408 | 2.5699 | 2.6509 | 410.8070 | 5.6656 | 5.8442 | 5.6244 | 0.0776 | 0.0800 | NA | NA | NA | NA | cash |
| 2019-08-20 | TRUE | STU2 | EOF | STU | FBM | 0.0911 | 40 | 0.1042 | 327.5 | 100.00 | TRUE | 0.4440 | 0.7660 | 1.210 | TRUE | 1.720 | TRUE | 0.3350 | TRUE | 0.1950 | TRUE | 0.2650 | TRUE | -0.0061 | TRUE | 0.2635 | 227441.000 | 0.1844 | 0.0646 | 74.4869 | 0.2752 | 0.3912 | 164.2139 | 0.6067 | 0.8624 | 4.7960 | 0.0177 | 0.0252 | NA | NA | NA | NA | cash |
| 2019-09-05 | TRUE | SCH2 | EOF | SCH | FBM | 0.0922 | 40 | 0.0995 | 182.5 | 92.80 | TRUE | 0.6320 | 0.5450 | 1.180 | TRUE | 1.500 | TRUE | 0.4280 | TRUE | 0.1560 | TRUE | 0.4190 | FALSE | -0.0001 | TRUE | 0.3940 | 269622.000 | 0.2186 | 0.2877 | 49.2060 | 0.3182 | 0.4044 | 108.4796 | 0.7014 | 0.8916 | 11.8947 | 0.0769 | 0.0978 | NA | NA | NA | NA | cash |
| 2019-10-17 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0919 | 45 | 0.1202 | 628.9 | 1050.00 | TRUE | 5.8100 | 2.1600 | 7.970 | TRUE | 5.160 | TRUE | 0.2660 | TRUE | 2.3900 | TRUE | 7.6100 | TRUE | 0.0232 | TRUE | 7.5850 | 143361.000 | 0.1162 | 0.0733 | 90.1581 | 1.1426 | 0.7397 | 198.7626 | 2.5189 | 1.6308 | 10.4392 | 0.1323 | 0.0857 | NA | NA | NA | NA | cash |
| 2019-10-17 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0933 | 45 | 0.0971 | 84.4 | 93.50 | TRUE | 2.4700 | 2.2200 | 4.690 | TRUE | 1.390 | TRUE | 0.0856 | TRUE | 0.2850 | TRUE | 1.4600 | TRUE | -0.0204 | TRUE | 1.4350 | 118567.000 | 0.0961 | 0.0807 | 10.0123 | 0.5561 | 0.1648 | 22.0732 | 1.2259 | 0.3633 | 1.5447 | 0.0858 | 0.0254 | NA | NA | NA | NA | cash |
| 2019-10-22 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0918 | 30 | 0.1075 | 523.3 | 898.00 | TRUE | 1.5100 | 1.8200 | 3.330 | TRUE | 3.770 | TRUE | 0.0911 | TRUE | 0.6410 | TRUE | 0.5380 | TRUE | -0.0263 | TRUE | 0.5130 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cash |
| 2019-10-22 | TRUE | HB | INST | NA | NA | 0.0916 | 40 | 0.0917 | 2.5 | 19.40 | TRUE | 4.8000 | 0.6980 | 5.500 | TRUE | 3.080 | TRUE | 0.0023 | TRUE | 0.9790 | TRUE | 3.7400 | TRUE | -0.0045 | TRUE | 3.7385 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 6.77 | 66.3 | 18.5 | 14.6 | cash |
| 2019-10-22 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0909 | 30 | 0.1177 | 893.3 | 1220.00 | TRUE | 5.4100 | 2.5700 | 7.990 | TRUE | 5.770 | TRUE | 0.1950 | TRUE | 0.0946 | TRUE | 4.4600 | TRUE | -0.0130 | TRUE | 4.4350 | 103374.000 | 0.0838 | 0.0528 | 92.3474 | 0.8260 | 0.5965 | 203.5892 | 1.8209 | 1.3150 | 10.6927 | 0.0956 | 0.0691 | NA | NA | NA | NA | cash |
| 2019-10-22 | TRUE | MUR2 | EOF | MUR | FBM | 0.0901 | 30 | 0.1006 | 350.0 | 812.00 | TRUE | 0.0080 | 9.4700 | 9.480 | TRUE | 3.910 | TRUE | 0.1490 | TRUE | 0.7200 | TRUE | 5.4700 | TRUE | 0.0335 | TRUE | 5.4450 | 13298.000 | 0.0108 | 0.0079 | 4.6543 | 0.1261 | 0.0520 | 10.2609 | 0.2779 | 0.1146 | 0.6361 | 0.0172 | 0.0071 | NA | NA | NA | NA | cash |
| 2019-10-22 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0932 | 20 | 0.2170 | 6190.0 | 8370.00 | TRUE | 10.4000 | 6.0900 | 16.500 | TRUE | 20.300 | TRUE | 0.0202 | TRUE | 0.5260 | TRUE | 5.7000 | TRUE | -0.0240 | TRUE | 5.6750 | 4770.000 | 0.0039 | 0.0045 | 29.5263 | 0.0787 | 0.0968 | 65.0937 | 0.1735 | 0.2135 | 6.2711 | 0.0167 | 0.0206 | NA | NA | NA | NA | cash |
| 2019-10-22 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0933 | 40 | 0.1002 | 172.5 | 272.00 | TRUE | 3.6400 | 1.4100 | 5.050 | TRUE | 1.490 | TRUE | 0.0308 | TRUE | 0.2140 | TRUE | 1.7900 | TRUE | -0.0211 | TRUE | 1.7650 | 122556.000 | 0.0994 | 0.0834 | 21.1409 | 0.6189 | 0.1826 | 46.6073 | 1.3644 | 0.4026 | 3.2615 | 0.0955 | 0.0282 | NA | NA | NA | NA | cash |
| 2019-10-22 | TRUE | SIM2 | EOF | SIM | FBM | 0.0922 | 40 | 0.0989 | 167.5 | 270.00 | TRUE | 3.2200 | 2.9200 | 6.130 | TRUE | 1.620 | TRUE | 0.0165 | TRUE | 0.2240 | TRUE | 2.8000 | TRUE | -0.0078 | TRUE | 2.7750 | 67806.000 | 0.0550 | 0.0375 | 11.3575 | 0.4157 | 0.1098 | 25.0388 | 0.9163 | 0.2422 | 1.4235 | 0.0521 | 0.0138 | NA | NA | NA | NA | cash |
| 2019-10-27 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0942 | 40 | 0.1076 | 335.0 | 572.00 | TRUE | 2.2900 | 1.0000 | 3.290 | TRUE | 1.930 | TRUE | 0.1140 | TRUE | 0.1600 | TRUE | 1.5100 | TRUE | -0.0153 | TRUE | 1.5085 | 459964.000 | 0.3730 | 0.5709 | 154.0879 | 1.5133 | 0.8877 | 339.7023 | 3.3362 | 1.9571 | 43.3294 | 0.4255 | 0.2496 | NA | NA | NA | NA | cash |
| 2019-10-27 | TRUE | ARR2 | EOF | ARR | FBM | 0.0917 | 40 | 0.1169 | 630.0 | 949.00 | TRUE | 2.8600 | 1.2500 | 4.110 | TRUE | 2.410 | TRUE | -0.0755 | TRUE | 0.1330 | TRUE | 1.9400 | TRUE | -0.0079 | TRUE | 1.9385 | 370450.000 | 0.3004 | 0.5194 | 233.3835 | 1.5225 | 0.8928 | 514.5173 | 3.3566 | 1.9682 | 74.1379 | 0.4837 | 0.2836 | NA | NA | NA | NA | cash |
| 2019-10-27 | TRUE | HB | INST | NA | NA | 0.0931 | 40 | 0.0934 | 7.5 | 18.40 | TRUE | 0.7010 | 0.4780 | 1.180 | TRUE | 2.550 | TRUE | -0.0680 | TRUE | 1.3700 | TRUE | 0.0862 | TRUE | -0.0254 | TRUE | 0.0847 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 6.44 | 62.8 | 23.0 | 14.6 | cash |
| 2019-10-27 | TRUE | PB | INST | NA | NA | 0.0922 | 40 | 0.0942 | 50.0 | 94.80 | TRUE | 1.4300 | 0.0428 | 1.860 | TRUE | 1.680 | TRUE | -0.0624 | TRUE | 0.6420 | TRUE | 1.0800 | TRUE | -0.0297 | TRUE | 1.0785 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.71 | 57.1 | 111.6 | 15.5 | cash |
| 2019-10-27 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0914 | 40 | 0.1137 | 557.5 | 747.00 | TRUE | 2.4700 | 1.5900 | 4.050 | TRUE | 3.610 | TRUE | 0.0606 | TRUE | 0.1810 | TRUE | 1.6200 | TRUE | -0.0105 | TRUE | 1.6185 | 55616.000 | 0.0451 | 0.0103 | 31.0059 | 0.2252 | 0.2008 | 68.3557 | 0.4966 | 0.4426 | 1.3047 | 0.0095 | 0.0084 | NA | NA | NA | NA | cash |
| 2019-10-27 | TRUE | STU1 | EOF | STU | CCMT | 0.0940 | 40 | 0.0954 | 35.0 | 39.90 | TRUE | 0.4160 | 0.5390 | 0.955 | TRUE | 2.970 | TRUE | 0.1330 | TRUE | 1.9500 | TRUE | 0.2580 | TRUE | -0.0234 | TRUE | 0.2565 | 1419295.000 | 1.1508 | 0.1891 | 49.6753 | 1.3554 | 4.2153 | 109.5142 | 2.9882 | 9.2931 | 1.4994 | 0.0409 | 0.1272 | NA | NA | NA | NA | cash |
| 2019-10-27 | TRUE | STU2 | EOF | STU | FBM | 0.0904 | 40 | 0.0953 | 122.5 | 178.00 | TRUE | 0.6000 | 0.0630 | 0.663 | TRUE | 3.140 | TRUE | 0.1620 | TRUE | 2.0700 | TRUE | 0.0839 | TRUE | -0.0178 | TRUE | 0.0824 | 1255560.000 | 1.0181 | 0.3568 | 153.8061 | 0.8324 | 3.9425 | 339.0809 | 1.8352 | 8.6915 | 9.9031 | 0.0536 | 0.2538 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0927 | 40 | 0.1007 | 200.0 | 301.00 | TRUE | 0.9550 | 1.1300 | 2.090 | TRUE | 2.200 | TRUE | 0.0789 | TRUE | 0.5620 | TRUE | 0.2850 | TRUE | -0.0198 | TRUE | 0.2600 | 1016962.000 | 0.8246 | 0.4425 | 203.3924 | 2.1255 | 2.2373 | 448.3989 | 4.6858 | 4.9324 | 20.0536 | 0.2096 | 0.2206 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | CAR2 | EOF | CAR | FBM | 0.0932 | 40 | 0.1021 | 222.5 | 259.00 | TRUE | 3.5800 | 0.5610 | 4.140 | TRUE | 2.650 | TRUE | -0.0082 | TRUE | 1.0900 | TRUE | 2.5300 | TRUE | -0.0239 | TRUE | 2.5050 | 736085.000 | 0.5968 | 0.3061 | 163.7789 | 3.0474 | 1.9506 | 361.0670 | 6.7183 | 4.3003 | 15.4302 | 0.2871 | 0.1838 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0911 | 40 | 0.1254 | 857.5 | 1320.00 | TRUE | 4.3700 | 1.4700 | 5.850 | TRUE | 4.950 | TRUE | 0.2420 | TRUE | 0.9020 | TRUE | 2.3800 | TRUE | -0.0170 | TRUE | 2.3550 | 3743409.000 | 3.0353 | 1.9130 | 3209.9732 | 21.8989 | 18.5299 | 7076.7070 | 48.2784 | 40.8510 | 371.6758 | 2.5356 | 2.1455 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | MUR2 | EOF | MUR | FBM | 0.0931 | 40 | 0.1768 | 2092.5 | 2450.00 | TRUE | 7.3400 | 2.6300 | 9.970 | TRUE | 7.280 | TRUE | 0.0776 | TRUE | 0.4190 | TRUE | 4.3200 | TRUE | -0.0074 | TRUE | 4.2950 | 2274123.000 | 1.8440 | 1.3567 | 4758.6024 | 22.6730 | 16.5556 | 10490.8148 | 49.9849 | 36.4985 | 650.3915 | 3.0989 | 2.2628 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0949 | 40 | 0.1023 | 185.0 | 210.00 | TRUE | 6.6700 | 0.1790 | 6.850 | TRUE | 5.340 | TRUE | -0.1440 | TRUE | 2.5500 | TRUE | 4.7900 | TRUE | -0.0165 | TRUE | 4.7650 | 1543939.000 | 1.2519 | 1.4473 | 285.6287 | 10.5760 | 8.2446 | 629.6971 | 23.3158 | 18.1761 | 60.6645 | 2.2462 | 1.7511 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0951 | 40 | 0.1052 | 252.5 | 341.00 | TRUE | 1.9800 | 1.0500 | 3.030 | TRUE | 1.430 | TRUE | 0.0905 | TRUE | 0.1500 | TRUE | 1.2500 | TRUE | -0.0242 | TRUE | 1.2250 | 1567831.000 | 1.2713 | 1.0675 | 395.8773 | 4.7505 | 2.2420 | 872.7512 | 10.4730 | 4.9427 | 61.0743 | 0.7329 | 0.3459 | NA | NA | NA | NA | cash |
| 2019-10-28 | TRUE | SIM2 | EOF | SIM | FBM | 0.0926 | 40 | 0.1000 | 185.0 | 228.00 | TRUE | 1.6000 | 0.8220 | 2.420 | TRUE | 1.040 | TRUE | 0.0545 | TRUE | 0.1570 | TRUE | 1.1100 | TRUE | -0.0214 | TRUE | 1.0850 | 2377650.000 | 1.9279 | 1.3152 | 439.8652 | 5.7539 | 2.4728 | 969.7269 | 12.6851 | 5.4514 | 55.1294 | 0.7212 | 0.3099 | NA | NA | NA | NA | cash |
| 2019-10-31 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0940 | 50 | 0.1177 | 474.0 | 840.00 | TRUE | 1.4200 | 0.8810 | 2.300 | TRUE | 1.690 | TRUE | 0.0656 | TRUE | 0.0895 | TRUE | 0.7760 | TRUE | -0.0274 | TRUE | 0.7745 | 114859.000 | 0.0931 | 0.1425 | 54.4432 | 0.2642 | 0.1941 | 120.0254 | 0.5824 | 0.4279 | 15.3094 | 0.0743 | 0.0546 | NA | NA | NA | NA | cash |
| 2019-10-31 | TRUE | ARR2 | EOF | ARR | FBM | 0.0913 | 50 | 0.1093 | 360.0 | 637.00 | TRUE | 1.8600 | 0.5940 | 2.450 | TRUE | 1.470 | TRUE | 0.0580 | TRUE | 0.1190 | TRUE | 1.2000 | TRUE | -0.0254 | TRUE | 1.1985 | 39613.000 | 0.0321 | 0.0555 | 14.2607 | 0.0971 | 0.0582 | 31.4391 | 0.2140 | 0.1284 | 4.5301 | 0.0308 | 0.0185 | NA | NA | NA | NA | cash |
| 2019-10-31 | TRUE | HB | INST | NA | NA | 0.0918 | 100 | 0.0946 | 28.0 | 31.90 | TRUE | 0.7530 | 0.7100 | 1.460 | TRUE | 2.060 | TRUE | 0.0547 | TRUE | 0.9560 | TRUE | 0.1060 | TRUE | -0.0194 | TRUE | 0.1045 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 10.08 | 86.1 | 36.5 | 8.8 | cash |
| 2019-10-31 | TRUE | MOS2 | EOF | MOS | FBM | 0.0919 | 50 | 0.1336 | 834.0 | 1210.00 | TRUE | 1.6300 | 1.3000 | 2.930 | TRUE | 3.160 | TRUE | 0.0486 | TRUE | 0.1880 | TRUE | 0.4560 | TRUE | -0.0087 | TRUE | 0.4545 | 97175.000 | 0.0788 | 0.0491 | 81.0440 | 0.2847 | 0.3071 | 178.6695 | 0.6277 | 0.6770 | 9.2767 | 0.0326 | 0.0351 | NA | NA | NA | NA | cash |
| 2019-10-31 | TRUE | PB | INST | NA | NA | 0.0909 | 100 | 0.1038 | 129.0 | 189.00 | TRUE | 0.9350 | 0.3710 | 1.310 | TRUE | 1.460 | TRUE | -0.0707 | TRUE | 0.6640 | TRUE | 0.4000 | TRUE | -0.0273 | TRUE | 0.3985 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8.11 | 72.9 | 199.1 | 11.0 | cash |
| 2019-10-31 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0919 | 50 | 0.1289 | 740.0 | 928.00 | TRUE | 1.4600 | 1.0300 | 2.500 | TRUE | 3.680 | TRUE | 0.1960 | TRUE | 0.4090 | TRUE | 0.2090 | TRUE | -0.0187 | TRUE | 0.2075 | 23595.000 | 0.0191 | 0.0044 | 17.4603 | 0.0590 | 0.0868 | 38.4930 | 0.1300 | 0.1914 | 0.7347 | 0.0025 | 0.0037 | NA | NA | NA | NA | cash |
| 2019-11-12 | TRUE | HB | INST | NA | NA | 0.0903 | 100 | 0.0932 | 29.0 | 37.00 | TRUE | 0.7900 | 0.9640 | 1.750 | TRUE | 2.280 | TRUE | 0.1380 | TRUE | 1.0400 | TRUE | 0.1710 | TRUE | -0.0192 | TRUE | 0.1695 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 12.75 | 89.8 | 49.1 | 1.7 | cover |
| 2019-11-12 | TRUE | MOS1 | EOF | MOS | CCMT | 0.0914 | 30 | 0.2035 | 3736.7 | 4880.00 | TRUE | 0.9400 | 5.8600 | 6.800 | TRUE | 12.200 | TRUE | 0.3270 | TRUE | 0.1650 | TRUE | 0.2990 | TRUE | -0.0245 | TRUE | 0.2975 | 14492.000 | 0.0118 | 0.0073 | 54.1518 | 0.0985 | 0.1768 | 119.3830 | 0.2173 | 0.3898 | 6.2082 | 0.0113 | 0.0203 | NA | NA | NA | NA | cover |
| 2019-11-12 | TRUE | MOS2 | EOF | MOS | FBM | 0.0918 | 30 | 0.1567 | 2163.3 | 2860.00 | TRUE | 3.0600 | 1.2600 | 4.310 | TRUE | 6.390 | TRUE | 0.0603 | TRUE | 0.2700 | TRUE | 0.5410 | TRUE | -0.0190 | TRUE | 0.5395 | 2419.000 | 0.0020 | 0.0012 | 5.2331 | 0.0104 | 0.0155 | 11.5369 | 0.0230 | 0.0341 | 0.5990 | 0.0012 | 0.0018 | NA | NA | NA | NA | cover |
| 2019-11-12 | TRUE | PB | INST | NA | NA | 0.0901 | 100 | 0.1082 | 181.0 | 280.00 | TRUE | 1.6500 | 0.9960 | 2.640 | TRUE | 2.260 | TRUE | 0.1900 | TRUE | 0.7970 | TRUE | 1.5700 | TRUE | -0.0110 | TRUE | 1.5685 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.99 | 74.7 | 358.9 | 4.0 | cover |
| 2019-11-12 | TRUE | STU1 | EOF | STU | CCMT | 0.0929 | 30 | 0.1632 | 2343.3 | 4080.00 | TRUE | 7.6200 | 2.9400 | 10.600 | TRUE | 17.200 | TRUE | 0.6760 | TRUE | 2.2800 | TRUE | 2.0700 | TRUE | -0.0091 | TRUE | 2.0685 | 23080.000 | 0.0187 | 0.0031 | 54.0841 | 0.2446 | 0.3970 | 119.2339 | 0.5394 | 0.8752 | 1.6324 | 0.0074 | 0.0120 | NA | NA | NA | NA | cover |
| 2019-11-23 | TRUE | HB | INST | NA | NA | 0.0911 | 40 | 0.0914 | 7.5 | 34.00 | TRUE | 0.7360 | 0.7760 | 1.510 | TRUE | 1.390 | TRUE | 0.1670 | TRUE | 0.5330 | TRUE | 0.0859 | TRUE | -0.0123 | TRUE | 0.0844 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.69 | 86.7 | 36.2 | 10.3 | cover |
| 2019-11-23 | TRUE | MOS2 | EOF | MOS | FBM | 0.0909 | 40 | 0.1413 | 1260.0 | 2020.00 | TRUE | 3.0400 | 0.5200 | 3.560 | TRUE | 5.590 | TRUE | -0.0272 | TRUE | 0.2200 | TRUE | 0.6090 | TRUE | -0.0153 | TRUE | 0.6075 | 8799.000 | 0.0071 | 0.0044 | 11.0867 | 0.0313 | 0.0492 | 24.4418 | 0.0691 | 0.1084 | 1.2690 | 0.0036 | 0.0056 | NA | NA | NA | NA | cover |
| 2019-11-23 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0929 | 40 | 0.1319 | 975.0 | 9670.00 | TRUE | 6.6000 | 1.0700 | 7.670 | TRUE | 3.960 | TRUE | 0.2770 | TRUE | 0.5970 | TRUE | 3.2000 | TRUE | -0.0090 | TRUE | 3.1750 | 66846.000 | 0.0542 | 0.0342 | 65.1749 | 0.5127 | 0.2647 | 143.6845 | 1.1303 | 0.5836 | 7.5465 | 0.0594 | 0.0307 | NA | NA | NA | NA | cover |
| 2019-11-23 | TRUE | PB | INST | NA | NA | 0.0906 | 40 | 0.0996 | 225.0 | 359.00 | TRUE | 2.6000 | 0.7380 | 3.330 | TRUE | 2.150 | TRUE | 0.0920 | TRUE | 0.3740 | TRUE | 1.5000 | TRUE | -0.0260 | TRUE | 1.4985 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7.19 | 66.0 | 410.0 | 11.5 | cover |
| 2019-11-23 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0918 | 40 | 0.1414 | 1240.0 | 1520.00 | TRUE | 2.1100 | 1.2600 | 3.370 | TRUE | 2.070 | TRUE | 0.0441 | TRUE | 0.4110 | TRUE | 0.1920 | TRUE | -0.0175 | TRUE | 0.1905 | 94456.000 | 0.0766 | 0.0175 | 117.1254 | 0.3183 | 0.1955 | 258.2147 | 0.7018 | 0.4311 | 4.9287 | 0.0134 | 0.0082 | NA | NA | NA | NA | cover |
| 2019-11-23 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0925 | 40 | 0.0955 | 75.0 | 97.80 | TRUE | 1.5900 | 1.7400 | 3.330 | TRUE | 2.310 | TRUE | 0.2060 | TRUE | 1.5300 | TRUE | 0.3310 | TRUE | -0.0110 | TRUE | 0.3060 | 107710.000 | 0.0873 | 0.1010 | 8.0782 | 0.3587 | 0.2488 | 17.8093 | 0.7907 | 0.5485 | 1.7157 | 0.0762 | 0.0528 | NA | NA | NA | NA | cover |
| 2019-11-23 | TRUE | STU1 | EOF | STU | CCMT | 0.0909 | 40 | 0.2051 | 2855.0 | 4600.00 | TRUE | 7.0500 | 0.8160 | 7.860 | TRUE | 26.500 | TRUE | 0.3350 | TRUE | 7.0200 | TRUE | 1.4000 | TRUE | -0.0110 | TRUE | 1.3985 | 101063.000 | 0.0819 | 0.0135 | 288.5349 | 0.7944 | 2.6782 | 636.1040 | 1.7512 | 5.9043 | 8.7090 | 0.0240 | 0.0808 | NA | NA | NA | NA | cover |
| 2019-12-07 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0918 | 40 | 0.1345 | 1067.5 | 1430.00 | TRUE | 2.0700 | 1.2800 | 3.340 | TRUE | 3.210 | TRUE | 0.2490 | TRUE | 0.0968 | TRUE | 0.2100 | TRUE | -0.0204 | TRUE | 0.2085 | 44375.000 | 0.0360 | 0.0551 | 47.3703 | 0.1482 | 0.1424 | 104.4326 | 0.3267 | 0.3140 | 13.3205 | 0.0417 | 0.0401 | NA | NA | NA | NA | cover |
| 2019-12-07 | TRUE | ARR2 | EOF | ARR | FBM | 0.0916 | 40 | 0.1702 | 1965.0 | 3450.00 | TRUE | 3.6100 | 0.8800 | 4.490 | TRUE | 7.080 | TRUE | 0.1100 | TRUE | 0.0494 | TRUE | 0.2130 | TRUE | -0.0182 | TRUE | 0.2115 | 166623.000 | 0.1351 | 0.2336 | 327.4142 | 0.7481 | 1.1797 | 721.8173 | 1.6493 | 2.6007 | 104.0083 | 0.2377 | 0.3747 | NA | NA | NA | NA | cover |
| 2019-12-07 | TRUE | HB | INST | NA | NA | 0.0901 | 40 | 0.0921 | 50.0 | 55.80 | TRUE | 0.6550 | 0.5480 | 1.200 | TRUE | 1.190 | TRUE | 0.2530 | TRUE | 0.3600 | TRUE | 0.1050 | TRUE | -0.0151 | TRUE | 0.1035 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 10.14 | 88.4 | 71.3 | 9.7 | cover |
| 2019-12-07 | TRUE | MOS2 | EOF | MOS | FBM | 0.0898 | 40 | 0.1485 | 1467.5 | 1930.00 | TRUE | 3.6400 | 0.9440 | 4.590 | TRUE | 0.893 | TRUE | 0.0378 | TRUE | 0.2610 | TRUE | 0.8330 | TRUE | -0.0165 | TRUE | 0.8315 | 14494.000 | 0.0118 | 0.0073 | 21.2699 | 0.0665 | 0.0129 | 46.8917 | 0.1467 | 0.0285 | 2.4347 | 0.0076 | 0.0015 | NA | NA | NA | NA | cover |
| 2019-12-07 | TRUE | PB | INST | NA | NA | 0.0936 | 40 | 0.1033 | 242.5 | 494.00 | TRUE | 2.0900 | 0.5910 | 2.680 | TRUE | 2.010 | TRUE | 0.3310 | TRUE | 0.2560 | TRUE | 0.7610 | TRUE | -0.0133 | TRUE | 0.7595 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7.02 | 62.1 | 565.0 | 10.4 | cover |
| 2019-12-07 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0904 | 40 | 0.1434 | 1325.0 | 1600.00 | TRUE | 2.4100 | 1.0300 | 3.440 | TRUE | 6.610 | TRUE | 0.2700 | TRUE | 0.5740 | TRUE | 0.3310 | TRUE | -0.0133 | TRUE | 0.3295 | 80485.000 | 0.0653 | 0.0149 | 106.6426 | 0.2769 | 0.5320 | 235.1043 | 0.6104 | 1.1729 | 4.4876 | 0.0117 | 0.0224 | NA | NA | NA | NA | cover |
| 2019-12-07 | TRUE | STU2 | EOF | STU | FBM | 0.0918 | 40 | 0.1752 | 2085.0 | 2190.00 | TRUE | 3.5800 | 0.2890 | 3.870 | TRUE | 7.080 | TRUE | 0.1400 | TRUE | 0.2360 | TRUE | 0.5930 | TRUE | -0.0138 | TRUE | 0.5915 | 85160.000 | 0.0691 | 0.0523 | 177.5586 | 0.3296 | 0.6029 | 391.4457 | 0.7266 | 1.3292 | 24.6969 | 0.0458 | 0.0839 | NA | NA | NA | NA | cover |
| 2019-12-11 | TRUE | HB | INST | NA | NA | 0.0921 | 100 | 0.0939 | 18.0 | 37.20 | TRUE | 0.7030 | 0.7450 | 1.450 | TRUE | 0.988 | TRUE | 0.0384 | TRUE | 0.2560 | TRUE | 0.0613 | TRUE | -0.0143 | TRUE | 0.0598 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 12.51 | 95.5 | 46.8 | 4.7 | cover |
| 2019-12-11 | TRUE | MOS2 | EOF | MOS | FBM | 0.0953 | 40 | 0.1312 | 897.5 | 1520.00 | TRUE | 2.1600 | 0.8280 | 2.990 | TRUE | 3.370 | TRUE | -0.0040 | TRUE | 0.0502 | TRUE | 0.3280 | TRUE | -0.0204 | TRUE | 0.3265 | 139910.000 | 0.1134 | 0.0707 | 125.5692 | 0.4183 | 0.4715 | 276.8299 | 0.9223 | 1.0395 | 14.3733 | 0.0479 | 0.0540 | NA | NA | NA | NA | cover |
| 2019-12-11 | TRUE | PB | INST | NA | NA | 0.0889 | 100 | 0.1080 | 191.0 | 298.00 | TRUE | 1.3600 | 0.6960 | 2.060 | TRUE | 1.230 | TRUE | 0.0819 | TRUE | 0.1430 | TRUE | 0.5350 | TRUE | -0.0221 | TRUE | 0.5335 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 11.72 | 89.3 | 324.5 | 4.7 | cover |
| 2019-12-11 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0925 | 40 | 0.1156 | 577.5 | 979.00 | TRUE | 1.6500 | 1.3700 | 3.020 | TRUE | 3.770 | TRUE | 0.1470 | TRUE | 0.4950 | TRUE | 0.2880 | TRUE | -0.0245 | TRUE | 0.2865 | 530854.000 | 0.4304 | 0.0986 | 306.5682 | 1.6032 | 2.0013 | 675.8602 | 3.5344 | 4.4121 | 12.9006 | 0.0675 | 0.0842 | NA | NA | NA | NA | cover |
| 2019-12-11 | TRUE | PBR2 | EOF | PBR | FBM | 0.0912 | 40 | 0.1683 | 1927.5 | 1750.00 | TRUE | 3.0500 | 3.5600 | 6.610 | TRUE | 6.580 | TRUE | 1.0700 | TRUE | 0.2240 | TRUE | 0.9270 | TRUE | -0.0162 | TRUE | 0.9255 | 118241.000 | 0.0959 | 0.0482 | 227.9095 | 0.7816 | 0.7780 | 502.4493 | 1.7231 | 1.7152 | 21.0318 | 0.0721 | 0.0718 | NA | NA | NA | NA | cover |
| 2019-12-11 | TRUE | STU1 | EOF | STU | CCMT | 0.0939 | 40 | 0.1076 | 342.5 | 551.00 | TRUE | 0.9310 | 0.6210 | 1.550 | TRUE | 2.110 | TRUE | 0.0046 | TRUE | 0.1920 | TRUE | 0.0556 | TRUE | -0.0146 | TRUE | 0.0541 | 109543.000 | 0.0888 | 0.0356 | 37.5185 | 0.1698 | 0.2311 | 82.7132 | 0.3743 | 0.5096 | 2.7599 | 0.0125 | 0.0170 | NA | NA | NA | NA | cover |
| 2019-12-11 | TRUE | STU2 | EOF | STU | FBM | 0.0929 | 40 | 0.1159 | 575.0 | 821.00 | TRUE | 1.7900 | 0.5910 | 2.380 | TRUE | 2.450 | TRUE | 0.0024 | TRUE | 0.0754 | TRUE | 0.5370 | TRUE | -0.0158 | TRUE | 0.5355 | 11197.000 | 0.0091 | 0.0069 | 6.4383 | 0.0266 | 0.0274 | 14.1938 | 0.0588 | 0.0605 | 0.8955 | 0.0037 | 0.0038 | NA | NA | NA | NA | cover |
| 2019-12-13 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0967 | 40 | 0.1108 | 352.5 | 531.00 | TRUE | 2.2900 | 0.9490 | 3.240 | TRUE | 3.560 | TRUE | 0.0946 | TRUE | 0.7640 | TRUE | 1.1500 | TRUE | -0.0150 | TRUE | 1.1250 | 777972.000 | 0.6308 | 0.3976 | 274.2351 | 2.5206 | 2.7696 | 604.5788 | 5.5570 | 6.1058 | 31.7531 | 0.2919 | 0.3207 | NA | NA | NA | NA | cover |
| 2019-12-13 | TRUE | MUR2 | EOF | MUR | FBM | 0.0912 | 20 | 0.1191 | 1395.0 | 2120.00 | TRUE | 3.2700 | 0.5590 | 3.830 | TRUE | 4.430 | TRUE | 0.0614 | TRUE | 0.0698 | TRUE | 0.3610 | TRUE | -0.0200 | TRUE | 0.3360 | 491969.000 | 0.3989 | 0.2935 | 686.2968 | 1.8842 | 2.1794 | 1513.0098 | 4.1540 | 4.8048 | 93.8010 | 0.2575 | 0.2979 | NA | NA | NA | NA | cover |
| 2019-12-13 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0913 | 40 | 0.0980 | 167.5 | 197.00 | TRUE | 1.5700 | 1.9000 | 3.470 | TRUE | 3.350 | TRUE | 0.6270 | TRUE | 1.0900 | TRUE | 0.4880 | TRUE | 0.0019 | TRUE | 0.4630 | 82062.000 | 0.0665 | 0.0769 | 13.7454 | 0.2848 | 0.2749 | 30.3031 | 0.6278 | 0.6061 | 2.9194 | 0.0605 | 0.0584 | NA | NA | NA | NA | cover |
| 2019-12-13 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0903 | 40 | 0.0999 | 240.0 | 369.00 | TRUE | 1.0300 | 0.8930 | 1.920 | TRUE | 1.200 | TRUE | 0.0554 | TRUE | 0.0363 | TRUE | 0.2630 | TRUE | -0.0151 | TRUE | 0.2380 | 323276.000 | 0.2621 | 0.2201 | 77.5862 | 0.6207 | 0.3879 | 171.0466 | 1.3684 | 0.8552 | 11.9697 | 0.0958 | 0.0598 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0928 | 40 | 0.1426 | 1245.0 | 1920.00 | TRUE | 2.1400 | 0.9100 | 3.050 | TRUE | 4.930 | TRUE | 0.0767 | TRUE | 0.0480 | TRUE | 0.0961 | TRUE | -0.0107 | TRUE | 0.0946 | 266359.000 | 0.2160 | 0.3306 | 331.6170 | 0.8124 | 1.3131 | 731.0827 | 1.7910 | 2.8950 | 93.2503 | 0.2284 | 0.3693 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | ARR2 | EOF | ARR | FBM | 0.0946 | 40 | 0.1721 | 1937.5 | 3720.00 | TRUE | 3.7000 | 1.1200 | 4.820 | TRUE | 8.120 | TRUE | 0.0518 | TRUE | 0.0562 | TRUE | 0.1010 | TRUE | -0.0164 | TRUE | 0.0995 | 212853.000 | 0.1726 | 0.2984 | 412.4027 | 1.0260 | 1.7284 | 909.1830 | 2.2618 | 3.8104 | 131.0062 | 0.3259 | 0.5490 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0911 | 50 | 0.1176 | 530.0 | 880.00 | TRUE | 1.2560 | 1.3400 | 2.610 | TRUE | 2.860 | TRUE | 0.0874 | TRUE | 0.3310 | TRUE | 0.1520 | TRUE | -0.0132 | TRUE | 0.1505 | 1400704.000 | 1.1357 | 0.6704 | 742.3731 | 3.6558 | 4.0060 | 1636.6358 | 8.0597 | 8.8317 | 80.5035 | 0.3964 | 0.4344 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0902 | 40 | 0.1224 | 805.0 | 1390.00 | TRUE | 1.8500 | 0.9060 | 2.760 | TRUE | 3.910 | TRUE | 0.0467 | TRUE | 0.1830 | TRUE | 0.1430 | TRUE | -0.0122 | TRUE | 0.1415 | 888963.000 | 0.7208 | 0.4173 | 715.6152 | 2.4535 | 3.4758 | 1577.6453 | 5.4091 | 7.6628 | 76.1045 | 0.2609 | 0.3697 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | HB | INST | NA | NA | 0.0923 | 100 | 0.0979 | 56.0 | 68.00 | TRUE | 0.7770 | 0.8310 | 1.610 | TRUE | 1.150 | TRUE | 0.1360 | TRUE | 0.2190 | TRUE | 0.0545 | TRUE | -0.0127 | TRUE | 0.0530 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 11.80 | 93.4 | 86.6 | 5.7 | cover |
| 2019-12-17 | TRUE | MOS1 | EOF | MOS | CCMT | 0.0930 | 30 | 0.3471 | 8470.0 | 9730.00 | TRUE | 8.9400 | 4.4100 | 13.400 | TRUE | 19.200 | TRUE | 0.0864 | TRUE | 0.1020 | TRUE | 0.7060 | TRUE | -0.0151 | TRUE | 0.7045 | 293107.000 | 0.2377 | 0.1483 | 2482.6163 | 3.9276 | 5.6277 | 5473.1759 | 8.6589 | 12.4067 | 284.6165 | 0.4503 | 0.6452 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | MOS2 | EOF | MOS | FBM | 0.0915 | 30 | 0.1631 | 2386.7 | 3120.00 | TRUE | 3.7100 | 1.4000 | 5.110 | TRUE | 7.240 | TRUE | 0.1130 | TRUE | 0.1640 | TRUE | 0.4850 | TRUE | -0.0147 | TRUE | 0.4835 | 33324.000 | 0.0270 | 0.0168 | 79.5333 | 0.1703 | 0.2413 | 175.3391 | 0.3754 | 0.5319 | 9.1038 | 0.0195 | 0.0276 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | PB | INST | NA | NA | 0.0914 | 50 | 0.1194 | 560.0 | 968.00 | TRUE | 2.1600 | 0.5870 | 2.750 | TRUE | 3.030 | TRUE | 0.2480 | TRUE | 0.2330 | TRUE | 0.6640 | TRUE | -0.0117 | TRUE | 0.6625 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 10.71 | 84.9 | 961.9 | 5.8 | cover |
| 2019-12-17 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0920 | 40 | 0.1281 | 902.5 | 1110.00 | TRUE | 1.7000 | 1.2900 | 2.990 | TRUE | 6.130 | TRUE | 0.1330 | TRUE | 0.4990 | TRUE | 0.1280 | TRUE | -0.0146 | TRUE | 0.1265 | 490272.000 | 0.3975 | 0.0911 | 442.4705 | 1.4659 | 3.0054 | 975.4704 | 3.2318 | 6.6256 | 18.6194 | 0.0617 | 0.1265 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | PBR2 | EOF | PBR | FBM | 0.0894 | 40 | 0.2267 | 3432.5 | 2470.00 | TRUE | 3.2300 | 2.6100 | 5.850 | TRUE | 11.100 | TRUE | 0.5920 | TRUE | 0.3470 | TRUE | 0.4280 | TRUE | 0.0241 | TRUE | 0.4039 | 29123.000 | 0.0236 | 0.0119 | 99.9647 | 0.1704 | 0.3233 | 220.3822 | 0.3756 | 0.7127 | 9.2249 | 0.0157 | 0.0298 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | STU1 | EOF | STU | CCMT | 0.0910 | 40 | 0.1224 | 785.0 | 1030.00 | TRUE | 1.5800 | 0.0961 | 2.550 | TRUE | 3.650 | TRUE | 0.0589 | TRUE | 0.1210 | TRUE | 0.0428 | TRUE | -0.0136 | TRUE | 0.0413 | 249586.000 | 0.2024 | 0.0810 | 195.9250 | 0.6364 | 0.9110 | 431.9363 | 1.4031 | 2.0084 | 14.4123 | 0.0468 | 0.0670 | NA | NA | NA | NA | cover |
| 2019-12-17 | TRUE | STU2 | EOF | STU | FBM | 0.0919 | 40 | 0.1490 | 1427.5 | 1910.00 | TRUE | 3.0100 | 0.6840 | 3.690 | TRUE | 5.750 | TRUE | 0.0519 | TRUE | 0.1820 | TRUE | 0.4530 | TRUE | -0.0145 | TRUE | 0.4515 | 47062.000 | 0.0382 | 0.0289 | 67.1810 | 0.1737 | 0.2706 | 148.1072 | 0.3828 | 0.5966 | 9.3443 | 0.0242 | 0.0376 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0911 | 40 | 0.1292 | 952.5 | 1540.00 | TRUE | 1.8800 | 0.8780 | 2.760 | TRUE | 4.070 | TRUE | 0.0875 | TRUE | 0.0634 | TRUE | 0.0613 | TRUE | -0.0192 | TRUE | 0.0598 | 682998.000 | 0.5538 | 0.8477 | 650.5556 | 1.8851 | 2.7798 | 1434.2149 | 4.1558 | 6.1284 | 182.9356 | 0.5301 | 0.7817 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | ARR2 | EOF | ARR | FBM | 0.0922 | 40 | 0.1758 | 2090.0 | 3430.00 | TRUE | 3.1700 | 0.8490 | 4.020 | TRUE | 7.090 | TRUE | 0.1840 | TRUE | 0.0760 | TRUE | 0.0862 | TRUE | -0.0283 | TRUE | 0.0847 | 212398.000 | 0.1722 | 0.2978 | 443.9118 | 0.8538 | 1.5059 | 978.6480 | 1.8824 | 3.3199 | 141.0156 | 0.2712 | 0.4784 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0909 | 40 | 0.1098 | 472.5 | 742.00 | TRUE | 0.9010 | 0.9320 | 1.830 | TRUE | 3.170 | TRUE | 0.2280 | TRUE | 0.2580 | TRUE | 0.0993 | TRUE | -0.0234 | TRUE | 0.0978 | 2533613.000 | 2.0544 | 1.2126 | 1197.1321 | 4.6365 | 8.0316 | 2639.1975 | 10.2217 | 17.7064 | 129.8179 | 0.5028 | 0.8709 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0928 | 40 | 0.1132 | 510.0 | 823.00 | TRUE | 1.1100 | 0.7190 | 1.830 | TRUE | 3.170 | TRUE | 0.1460 | TRUE | 0.2090 | TRUE | 0.1190 | TRUE | -0.0245 | TRUE | 0.1175 | 2470440.000 | 2.0031 | 1.1596 | 1259.9244 | 4.5209 | 7.8313 | 2777.6293 | 9.9668 | 17.2649 | 133.9908 | 0.4808 | 0.8328 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | HB | INST | NA | NA | 0.0894 | 100 | 0.0921 | 27.0 | 61.30 | TRUE | 0.5810 | 0.5560 | 1.140 | TRUE | 1.130 | TRUE | 0.0228 | TRUE | 0.2100 | TRUE | 0.0716 | TRUE | -0.0204 | TRUE | 0.0701 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 10.94 | 92.5 | 73.2 | 8.4 | cover |
| 2020-01-12 | TRUE | MOS2 | EOF | MOS | FBM | 0.0935 | 40 | 0.1580 | 1612.5 | 1820.00 | TRUE | 2.4000 | 0.7230 | 3.120 | TRUE | 5.780 | TRUE | 0.0854 | TRUE | 0.1250 | TRUE | 0.3360 | TRUE | -0.0050 | TRUE | 0.3345 | 51849.000 | 0.0420 | 0.0262 | 83.6065 | 0.1618 | 0.2997 | 184.3189 | 0.3566 | 0.6607 | 9.5700 | 0.0185 | 0.0343 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | PB | INST | NA | NA | 0.0919 | 50 | 0.1198 | 558.0 | 974.00 | TRUE | 1.7800 | 0.3260 | 2.110 | TRUE | 3.110 | TRUE | 0.8780 | TRUE | 0.1290 | TRUE | 0.4600 | TRUE | -0.0184 | TRUE | 0.4585 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.58 | 83.9 | 914.0 | 9.9 | cover |
| 2020-01-12 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0928 | 40 | 0.1215 | 717.5 | 766.00 | TRUE | 1.0100 | 0.7920 | 1.800 | TRUE | 3.730 | TRUE | 0.1280 | TRUE | 0.2250 | TRUE | 0.0948 | TRUE | -0.0246 | TRUE | 0.0933 | 288761.000 | 0.2341 | 0.0536 | 207.1860 | 0.5198 | 1.0771 | 456.7623 | 1.1459 | 2.3745 | 8.7185 | 0.0219 | 0.0453 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | STU1 | EOF | STU | CCMT | 0.0901 | 40 | 0.1126 | 562.5 | 880.00 | TRUE | 1.1700 | 0.2810 | 1.450 | TRUE | 3.040 | TRUE | 0.2770 | TRUE | 0.1040 | TRUE | 0.0638 | TRUE | -0.0264 | TRUE | 0.0623 | 828662.000 | 0.6719 | 0.2690 | 466.1224 | 1.2016 | 2.5191 | 1027.6134 | 2.6490 | 5.5537 | 34.2881 | 0.0884 | 0.1853 | NA | NA | NA | NA | cover |
| 2020-01-12 | TRUE | STU2 | EOF | STU | FBM | 0.0928 | 40 | 0.1355 | 1067.5 | 1570.00 | TRUE | 1.8100 | 0.5850 | 2.400 | TRUE | 5.190 | TRUE | 0.2020 | TRUE | 0.1430 | TRUE | 0.1200 | TRUE | -0.0124 | TRUE | 0.1185 | 453793.000 | 0.3680 | 0.2786 | 484.4240 | 1.0891 | 2.3552 | 1067.9612 | 2.4010 | 5.1922 | 67.3793 | 0.1515 | 0.3276 | NA | NA | NA | NA | cover |
| 2020-01-13 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0915 | 40 | 0.1185 | 675.0 | 682.00 | TRUE | 1.2800 | 1.2900 | 2.570 | TRUE | 3.910 | TRUE | 0.1290 | TRUE | 0.4210 | TRUE | 0.1520 | TRUE | -0.0204 | TRUE | 0.1270 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0926 | 40 | 0.1232 | 765.0 | 1300.00 | TRUE | 1.4200 | 0.5270 | 1.940 | TRUE | 2.780 | TRUE | 0.0644 | TRUE | 0.0426 | TRUE | 0.0764 | TRUE | -0.0243 | TRUE | 0.0749 | 1263704.000 | 1.0247 | 1.5684 | 966.7336 | 2.4516 | 3.5131 | 2131.2608 | 5.4048 | 7.7450 | 271.8445 | 0.6894 | 0.9879 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | ARR2 | EOF | ARR | FBM | 0.0903 | 40 | 0.1399 | 1240.0 | 1760.00 | TRUE | 1.3200 | 3.5600 | 4.880 | TRUE | 4.340 | TRUE | 0.0335 | TRUE | 0.0641 | TRUE | 0.0510 | TRUE | -0.0234 | TRUE | 0.0495 | 483358.000 | 0.3919 | 0.6777 | 599.3639 | 2.3588 | 2.0978 | 1321.3577 | 5.2002 | 4.6248 | 190.3974 | 0.7493 | 0.6664 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0929 | 80 | 0.1164 | 293.8 | 458.00 | TRUE | 0.0750 | 1.6800 | 1.760 | TRUE | 1.760 | TRUE | 0.0387 | TRUE | 0.1830 | TRUE | 0.0723 | TRUE | -0.0247 | TRUE | 0.0708 | 1549805.000 | 1.2566 | 0.7417 | 455.2552 | 2.7277 | 2.7277 | 1003.6557 | 6.0134 | 6.0134 | 49.3682 | 0.2958 | 0.2958 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0913 | 40 | 0.1072 | 397.5 | 684.00 | TRUE | 0.8820 | 0.6400 | 1.520 | TRUE | 2.060 | TRUE | 0.1090 | TRUE | 0.1350 | TRUE | 0.0709 | TRUE | -0.0282 | TRUE | 0.0694 | 1522503.000 | 1.2345 | 0.7146 | 605.1949 | 2.3142 | 3.1364 | 1334.2128 | 5.1019 | 6.9144 | 64.3614 | 0.2461 | 0.3335 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | HB | INST | NA | NA | 0.0958 | 100 | 0.0992 | 34.0 | 82.70 | TRUE | 0.6780 | 0.1170 | 0.794 | TRUE | 1.330 | TRUE | 0.0949 | TRUE | 0.1620 | TRUE | 0.1090 | TRUE | -0.0218 | TRUE | 0.1075 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.11 | 85.6 | 100.4 | 13.3 | cover |
| 2020-01-16 | TRUE | MOS2 | EOF | MOS | FBM | 0.0952 | 40 | 0.1447 | 1237.5 | 1880.00 | TRUE | 2.4300 | 0.6620 | 3.100 | TRUE | 6.110 | TRUE | 0.0452 | TRUE | 0.0863 | TRUE | 0.2410 | TRUE | -0.0242 | TRUE | 0.2395 | 118005.000 | 0.0957 | 0.0596 | 146.0312 | 0.3658 | 0.7210 | 321.9404 | 0.8065 | 1.5895 | 16.7155 | 0.0419 | 0.0825 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | PB | INST | NA | NA | 0.0958 | 40 | 0.1043 | 212.5 | 384.00 | TRUE | 1.0100 | 0.4490 | 1.460 | TRUE | 1.790 | TRUE | 0.1300 | TRUE | 0.1790 | TRUE | 0.1850 | TRUE | -0.0200 | TRUE | 0.1835 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 7.00 | 68.6 | 564.9 | 15.2 | cover |
| 2020-01-16 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0920 | 40 | 0.1158 | 595.0 | 920.00 | TRUE | 1.1500 | 1.1700 | 2.310 | TRUE | 2.820 | TRUE | 0.0704 | TRUE | 0.1710 | TRUE | 0.1230 | TRUE | -0.0236 | TRUE | 0.1215 | 1706806.000 | 1.3839 | 0.3170 | 1015.5496 | 3.9427 | 4.8132 | 2238.8806 | 8.6921 | 10.6112 | 42.7349 | 0.1659 | 0.2025 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0904 | 40 | 0.1691 | 1967.5 | 2200.00 | TRUE | 2.7800 | 2.6100 | 5.400 | TRUE | 7.460 | TRUE | 0.0355 | TRUE | 0.2580 | TRUE | 0.1200 | TRUE | -0.0220 | TRUE | 0.0950 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | SCH2 | EOF | SCH | FBM | 0.0928 | 40 | 0.2181 | 3132.5 | 2580.00 | TRUE | 3.5900 | 2.3100 | 5.900 | TRUE | 9.580 | TRUE | -0.0593 | TRUE | 0.3070 | TRUE | 0.2550 | TRUE | -0.0218 | TRUE | 0.2300 | 749300.000 | 0.6076 | 0.7994 | 2347.1822 | 4.4209 | 7.1783 | 5174.5980 | 9.7463 | 15.8253 | 567.3901 | 1.0687 | 1.7352 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | STU1 | EOF | STU | CCMT | 0.0935 | 40 | 0.1191 | 640.0 | 869.00 | TRUE | 1.1700 | 0.6060 | 1.770 | TRUE | 2.380 | TRUE | 0.0200 | TRUE | 0.0754 | TRUE | 0.0622 | TRUE | -0.0233 | TRUE | 0.0607 | 1691925.000 | 1.3719 | 0.5493 | 1082.8320 | 2.9947 | 4.0268 | 2387.2114 | 6.6021 | 8.8774 | 79.6534 | 0.2203 | 0.2962 | NA | NA | NA | NA | cover |
| 2020-01-16 | TRUE | STU2 | EOF | STU | FBM | 0.0934 | 40 | 0.1269 | 837.5 | 1160.00 | TRUE | 1.7300 | 0.5690 | 2.300 | TRUE | 3.650 | TRUE | 0.0551 | TRUE | 0.0988 | TRUE | 0.1950 | TRUE | -0.0237 | TRUE | 0.1935 | 336275.000 | 0.2727 | 0.2064 | 281.6303 | 0.7734 | 1.2274 | 620.8822 | 1.7051 | 2.7059 | 39.1724 | 0.1076 | 0.1707 | NA | NA | NA | NA | cover |
| 2020-01-21 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0940 | 40 | 0.0980 | 100.0 | 144.00 | TRUE | 0.7910 | 0.8820 | 1.670 | TRUE | 1.190 | TRUE | 0.0647 | TRUE | 0.0644 | TRUE | 0.0361 | TRUE | -0.0194 | TRUE | 0.0111 | 873896.000 | 0.7086 | 0.3803 | 87.3896 | 1.4594 | 1.0399 | 192.6591 | 3.2174 | 2.2926 | 8.6162 | 0.1439 | 0.1025 | NA | NA | NA | NA | cover |
| 2020-01-21 | TRUE | CAR2 | EOF | CAR | FBM | 0.0941 | 40 | 0.1091 | 375.0 | 526.00 | TRUE | 1.1600 | 1.2900 | 2.440 | TRUE | 2.260 | TRUE | 0.0187 | TRUE | 0.1170 | TRUE | 0.2290 | TRUE | -0.0226 | TRUE | 0.2040 | 359533.000 | 0.2915 | 0.1495 | 134.8249 | 0.8773 | 0.8125 | 297.2349 | 1.9340 | 1.7913 | 12.7023 | 0.0826 | 0.0766 | NA | NA | NA | NA | cover |
| 2020-01-21 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0921 | 40 | 0.1081 | 400.0 | 593.00 | TRUE | 2.2800 | 1.2900 | 3.580 | TRUE | 3.560 | TRUE | 0.0932 | TRUE | 0.4460 | TRUE | 1.1000 | TRUE | -0.0219 | TRUE | 1.0750 | 145011.000 | 0.1176 | 0.0741 | 58.0044 | 0.5191 | 0.5162 | 127.8765 | 1.1445 | 1.1381 | 6.7162 | 0.0601 | 0.0598 | NA | NA | NA | NA | cover |
| 2020-01-21 | TRUE | MUR2 | EOF | MUR | FBM | 0.0939 | 40 | 0.1808 | 2172.5 | 3960.00 | TRUE | 4.4300 | -0.4900 | 3.940 | TRUE | 8.740 | TRUE | 0.0509 | TRUE | 0.1240 | TRUE | 0.2550 | TRUE | -0.0242 | TRUE | 0.2300 | 192573.000 | 0.1561 | 0.1149 | 418.3648 | 0.7587 | 1.6831 | 922.3271 | 1.6727 | 3.7105 | 57.1809 | 0.1037 | 0.2300 | NA | NA | NA | NA | cover |
| 2020-01-21 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0939 | 40 | 0.0980 | 102.5 | 191.00 | TRUE | 1.0100 | 0.9670 | 1.980 | TRUE | 2.470 | TRUE | 0.0685 | TRUE | 0.3930 | TRUE | 0.0642 | TRUE | -0.0181 | TRUE | 0.0392 | 48586.000 | 0.0394 | 0.0455 | 4.9801 | 0.0962 | 0.1200 | 10.9791 | 0.2121 | 0.2646 | 1.0577 | 0.0204 | 0.0255 | NA | NA | NA | NA | cover |
| 2020-01-21 | TRUE | SCH2 | EOF | SCH | FBM | 0.0940 | 40 | 0.1561 | 1552.5 | 1420.00 | TRUE | 2.7600 | 1.4500 | 4.210 | TRUE | 7.430 | TRUE | -0.0847 | TRUE | 0.3240 | TRUE | 0.3180 | TRUE | -0.0221 | TRUE | 0.2930 | 270637.000 | 0.2194 | 0.2887 | 420.1639 | 1.1394 | 2.0108 | 926.2934 | 2.5119 | 4.4331 | 101.5673 | 0.2754 | 0.4861 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0917 | 40 | 0.0960 | 107.5 | 97.80 | TRUE | 0.6030 | 0.3530 | 0.955 | TRUE | 0.760 | TRUE | 0.1320 | TRUE | 0.0452 | TRUE | 0.1110 | TRUE | -0.0221 | TRUE | 0.0860 | 682002.000 | 0.5530 | 0.2968 | 73.3152 | 0.6513 | 0.5183 | 161.6307 | 1.4359 | 1.1427 | 7.2286 | 0.0642 | 0.0511 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | CAR2 | EOF | CAR | FBM | 0.0936 | 40 | 0.1015 | 197.5 | 317.00 | TRUE | 1.2000 | 0.2850 | 1.480 | TRUE | 1.890 | TRUE | 0.0330 | TRUE | 0.1330 | TRUE | 0.4170 | TRUE | -0.0190 | TRUE | 0.3920 | 823519.000 | 0.6677 | 0.3424 | 162.6450 | 1.2188 | 1.5565 | 358.5672 | 2.6870 | 3.4314 | 15.3234 | 0.1148 | 0.1466 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0908 | 40 | 0.1080 | 430.0 | 565.00 | TRUE | 2.4100 | 0.5870 | 3.000 | TRUE | 3.730 | TRUE | 0.0518 | TRUE | 0.3890 | TRUE | 1.0800 | TRUE | -0.0208 | TRUE | 1.0550 | 1679941.000 | 1.3622 | 0.8585 | 722.3746 | 5.0398 | 6.2662 | 1592.5471 | 11.1108 | 13.8144 | 83.6422 | 0.5836 | 0.7255 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | MUR2 | EOF | MUR | FBM | 0.0930 | 40 | 0.1388 | 1145.0 | 1550.00 | TRUE | 3.5500 | 0.2590 | 3.290 | TRUE | 4.940 | TRUE | 0.0375 | TRUE | 0.1200 | TRUE | 1.0200 | TRUE | -0.0236 | TRUE | 0.9950 | 1115637.000 | 0.9046 | 0.6656 | 1277.4044 | 3.6704 | 5.5112 | 2816.1657 | 8.0919 | 12.1501 | 174.5918 | 0.5017 | 0.7533 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0922 | 40 | 0.0963 | 102.5 | 129.00 | TRUE | 0.6480 | 0.4590 | 1.110 | TRUE | 2.090 | TRUE | 0.0224 | TRUE | 0.3030 | TRUE | 0.0461 | TRUE | -0.0197 | TRUE | 0.0211 | 645121.000 | 0.5231 | 0.6047 | 66.1249 | 0.7161 | 1.3483 | 145.7790 | 1.5787 | 2.9725 | 14.0442 | 0.1521 | 0.2864 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | SCH2 | EOF | SCH | FBM | 0.0939 | 40 | 0.1118 | 447.5 | 485.00 | TRUE | 1.1600 | 1.3200 | 2.480 | TRUE | 3.770 | TRUE | -0.0179 | TRUE | 0.5040 | TRUE | 0.2000 | TRUE | -0.0215 | TRUE | 0.1750 | 1211855.000 | 0.9826 | 1.2929 | 542.3051 | 3.0054 | 4.5687 | 1195.5659 | 6.6257 | 10.0721 | 131.0927 | 0.7265 | 1.1044 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0929 | 40 | 0.1003 | 185.0 | 279.00 | TRUE | 0.7490 | 0.1420 | 0.892 | TRUE | 0.916 | TRUE | 0.0121 | TRUE | 0.0387 | TRUE | 0.1050 | TRUE | -0.0241 | TRUE | 0.0800 | 1009846.000 | 0.8188 | 0.6876 | 186.8215 | 0.9008 | 0.9250 | 411.8667 | 1.9859 | 2.0393 | 28.8220 | 0.1390 | 0.1427 | NA | NA | NA | NA | cover |
| 2020-01-24 | TRUE | SIM2 | EOF | SIM | FBM | 0.0928 | 40 | 0.1080 | 380.0 | 568.00 | TRUE | 1.7400 | 0.1730 | 1.910 | TRUE | 1.500 | TRUE | -0.0190 | TRUE | 0.0507 | TRUE | 0.8940 | TRUE | -0.0199 | TRUE | 0.8690 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0899 | 40 | 0.1114 | 537.5 | 836.00 | TRUE | 1.2100 | 2.4400 | 3.640 | TRUE | 2.820 | TRUE | -0.0020 | TRUE | 0.0838 | TRUE | 0.0813 | TRUE | -0.0258 | TRUE | 0.0798 | 1047819.000 | 0.8496 | 1.3004 | 563.2027 | 3.8141 | 2.9548 | 1241.6367 | 8.4085 | 6.5143 | 158.3720 | 1.0725 | 0.8309 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | ARR2 | EOF | ARR | FBM | 0.0933 | 40 | 0.1326 | 982.5 | 1470.00 | TRUE | 1.8700 | 3.3200 | 5.190 | TRUE | 4.580 | TRUE | -0.0087 | TRUE | 0.0793 | TRUE | 0.1980 | TRUE | -0.0241 | TRUE | 0.1965 | 289880.000 | 0.2350 | 0.4064 | 284.8071 | 1.5045 | 1.3277 | 627.8857 | 3.3168 | 2.9269 | 90.4734 | 0.4779 | 0.4217 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0948 | 40 | 0.1034 | 215.0 | 266.00 | TRUE | 0.5450 | 1.0300 | 1.580 | TRUE | 1.720 | TRUE | -0.0099 | TRUE | 0.1960 | TRUE | 0.0748 | TRUE | -0.0237 | TRUE | 0.0733 | 1771110.000 | 1.4361 | 0.8477 | 380.7887 | 2.7984 | 3.0463 | 839.4867 | 6.1693 | 6.7159 | 41.2930 | 0.3035 | 0.3303 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0918 | 40 | 0.1047 | 322.5 | 453.00 | TRUE | 0.9020 | 0.6670 | 1.570 | TRUE | 2.110 | TRUE | -0.0210 | TRUE | 0.1230 | TRUE | 0.1690 | TRUE | -0.0210 | TRUE | 0.1675 | 2008008.000 | 1.6282 | 0.9425 | 647.5826 | 3.1526 | 4.2369 | 1427.6606 | 6.9502 | 9.3407 | 68.8693 | 0.3353 | 0.4506 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | MOS2 | EOF | MOS | FBM | 0.0942 | 40 | 0.1286 | 860.0 | 1140.00 | TRUE | 1.9500 | 0.0320 | 1.980 | TRUE | 3.940 | TRUE | 0.0236 | TRUE | 0.0741 | TRUE | 0.4650 | TRUE | -0.0215 | TRUE | 0.4635 | 152424.000 | 0.1236 | 0.0770 | 131.0846 | 0.3018 | 0.6006 | 288.9892 | 0.6653 | 1.3240 | 15.0046 | 0.0345 | 0.0687 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0936 | 40 | 0.1141 | 512.5 | 665.00 | TRUE | 0.9020 | 1.5700 | 2.470 | TRUE | 3.370 | TRUE | 0.0277 | TRUE | 0.1200 | TRUE | 0.1190 | TRUE | -0.0239 | TRUE | 0.1175 | 397629.000 | 0.3224 | 0.0738 | 203.7849 | 0.9821 | 1.3400 | 449.2641 | 2.1652 | 2.9542 | 8.5754 | 0.0413 | 0.0564 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | PBR2 | EOF | PBR | FBM | 0.0930 | 40 | 0.1429 | 1247.5 | 1200.00 | TRUE | 2.8300 | 1.6400 | 4.460 | TRUE | 6.470 | TRUE | 0.0919 | TRUE | 0.2500 | TRUE | 0.9550 | TRUE | -0.0216 | TRUE | 0.9535 | 48859.000 | 0.0396 | 0.0199 | 60.9516 | 0.2179 | 0.3161 | 134.3739 | 0.4804 | 0.6969 | 5.6247 | 0.0201 | 0.0292 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | STU1 | EOF | STU | CCMT | 0.0935 | 40 | 0.1173 | 595.0 | 818.00 | TRUE | 1.4300 | 0.6220 | 2.050 | TRUE | 3.310 | TRUE | 0.0335 | TRUE | 0.0711 | TRUE | 0.0468 | TRUE | -0.0214 | TRUE | 0.0453 | 1014040.000 | 0.8222 | 0.3292 | 603.3538 | 2.0788 | 3.3565 | 1330.1538 | 4.5829 | 7.3997 | 44.3828 | 0.1529 | 0.2469 | NA | NA | NA | NA | cover |
| 2020-01-25 | TRUE | STU2 | EOF | STU | FBM | 0.0937 | 40 | 0.1380 | 1107.5 | 1460.00 | TRUE | 2.1400 | 2.9300 | 5.060 | TRUE | 4.940 | TRUE | -0.0168 | TRUE | 0.1290 | TRUE | 0.2150 | TRUE | -0.0269 | TRUE | 0.2135 | 754536.000 | 0.6118 | 0.4632 | 835.6486 | 3.8180 | 3.7274 | 1842.2709 | 8.4171 | 8.2174 | 116.2316 | 0.5310 | 0.5185 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0920 | 40 | 0.1417 | 1242.5 | 1410.00 | TRUE | 2.0100 | 1.5700 | 3.580 | TRUE | 4.360 | TRUE | 0.2040 | TRUE | 0.0251 | TRUE | 0.1830 | TRUE | -0.0083 | TRUE | 0.1815 | 125550.000 | 0.1018 | 0.1558 | 155.9959 | 0.4495 | 0.5474 | 343.9085 | 0.9909 | 1.2068 | 43.8659 | 0.1264 | 0.1539 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | ARR2 | EOF | ARR | FBM | 0.0948 | 40 | 0.1384 | 1090.0 | 1640.00 | TRUE | 1.9200 | 1.1000 | 3.020 | TRUE | 4.440 | TRUE | 0.1120 | TRUE | 0.0321 | TRUE | 0.0557 | TRUE | -0.0177 | TRUE | 0.0542 | 77301.000 | 0.0627 | 0.1084 | 84.2581 | 0.2334 | 0.3432 | 185.7554 | 0.5147 | 0.7567 | 26.7659 | 0.0742 | 0.1090 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0932 | 40 | 0.0982 | 125.0 | 155.00 | TRUE | 0.5250 | 0.7280 | 1.250 | TRUE | 0.985 | TRUE | 0.0476 | TRUE | 0.0658 | TRUE | 0.0545 | TRUE | -0.0246 | TRUE | 0.0530 | 46180.000 | 0.0374 | 0.0221 | 5.7725 | 0.0577 | 0.0455 | 12.7261 | 0.1273 | 0.1003 | 0.6260 | 0.0063 | 0.0049 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0950 | 40 | 0.1454 | 1260.0 | 1220.00 | TRUE | 1.7500 | 1.3500 | 3.110 | TRUE | 4.310 | TRUE | 0.0181 | TRUE | 0.0249 | TRUE | 0.0786 | TRUE | -0.0236 | TRUE | 0.0771 | 111167.000 | 0.0901 | 0.0522 | 140.0704 | 0.3457 | 0.4791 | 308.7992 | 0.7622 | 1.0563 | 14.8962 | 0.0368 | 0.0510 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | HB | INST | NA | NA | 0.0937 | 40 | 0.0960 | 57.5 | 96.50 | TRUE | 0.5590 | 0.5800 | 1.140 | TRUE | 0.830 | TRUE | 0.0075 | TRUE | 0.0926 | TRUE | 0.0863 | TRUE | -0.0234 | TRUE | 0.0848 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 11.44 | 97.5 | 118.1 | 7.8 | cover |
| 2020-02-06 | TRUE | MOS1 | EOF | MOS | CCMT | 0.0917 | 40 | 0.1409 | 1230.0 | 1470.00 | TRUE | 2.3900 | 1.3500 | 3.740 | TRUE | 6.150 | TRUE | -0.0001 | TRUE | 0.0673 | TRUE | 0.4660 | TRUE | -0.0312 | TRUE | 0.4645 | 115767.000 | 0.0939 | 0.0586 | 142.3934 | 0.4330 | 0.7120 | 313.9205 | 0.9545 | 1.5696 | 16.3245 | 0.0496 | 0.0816 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | MOS2 | EOF | MOS | FBM | 0.0944 | 40 | 0.1596 | 1630.0 | 1980.00 | TRUE | 2.8400 | 0.7760 | 3.620 | TRUE | 5.990 | TRUE | 0.0096 | TRUE | 0.0247 | TRUE | 0.3240 | TRUE | -0.0286 | TRUE | 0.3225 | 72173.000 | 0.0585 | 0.0365 | 117.6420 | 0.2613 | 0.4323 | 259.3535 | 0.5760 | 0.9531 | 13.4659 | 0.0299 | 0.0495 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | PB | INST | NA | NA | 0.0920 | 40 | 0.1014 | 235.0 | 383.00 | TRUE | 0.9270 | 0.8330 | 1.760 | TRUE | 1.630 | TRUE | 0.0419 | TRUE | 0.1090 | TRUE | 0.2820 | TRUE | -0.0279 | TRUE | 0.2805 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.99 | 84.4 | 391.2 | 7.6 | cover |
| 2020-02-06 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0930 | 40 | 0.1258 | 820.0 | 1170.00 | TRUE | 1.5100 | 0.8820 | 2.400 | TRUE | 4.230 | TRUE | 0.0603 | TRUE | 0.1030 | TRUE | 0.1430 | TRUE | -0.0184 | TRUE | 0.1415 | 1352996.000 | 1.0971 | 0.2513 | 1109.4567 | 3.2472 | 5.7232 | 2445.9083 | 7.1588 | 12.6173 | 46.6865 | 0.1366 | 0.2408 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | PBR2 | EOF | PBR | FBM | 0.0925 | 40 | 0.1186 | 652.5 | 981.00 | TRUE | 1.2400 | 1.4000 | 2.640 | TRUE | 3.810 | TRUE | 0.0027 | TRUE | 0.0777 | TRUE | 0.1440 | TRUE | -0.0161 | TRUE | 0.1425 | 120774.000 | 0.0979 | 0.0492 | 78.8050 | 0.3188 | 0.4601 | 173.7336 | 0.7029 | 1.0144 | 7.2722 | 0.0294 | 0.0425 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | STU1 | EOF | STU | CCMT | 0.0931 | 40 | 0.1125 | 485.0 | 947.00 | TRUE | 1.1600 | 0.1170 | 1.280 | TRUE | 2.230 | TRUE | 0.0002 | TRUE | 0.0380 | TRUE | 0.0500 | TRUE | -0.0182 | TRUE | 0.0485 | 799392.000 | 0.6482 | 0.2595 | 387.7051 | 1.0232 | 1.7826 | 854.7347 | 2.2558 | 3.9300 | 28.5197 | 0.0753 | 0.1311 | NA | NA | NA | NA | cover |
| 2020-02-06 | TRUE | STU2 | EOF | STU | FBM | 0.0919 | 40 | 0.1335 | 1040.0 | 1300.00 | TRUE | 2.1700 | 0.6320 | 2.800 | TRUE | 4.120 | TRUE | 0.0374 | TRUE | 0.0850 | TRUE | 0.2760 | TRUE | -0.0224 | TRUE | 0.2745 | 260040.000 | 0.2109 | 0.1596 | 270.4416 | 0.7281 | 1.0714 | 596.2156 | 1.6052 | 2.3619 | 37.6161 | 0.1013 | 0.1490 | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0934 | 30 | 0.0970 | 120.0 | 54.00 | TRUE | 0.5970 | 1.4400 | 2.040 | TRUE | 0.808 | TRUE | 0.0297 | TRUE | 0.0495 | FALSE | 0.0352 | TRUE | -0.0180 | TRUE | 0.0102 | 425545.000 | 0.3450 | 0.1852 | 51.0654 | 0.8681 | 0.3438 | 112.5788 | 1.9138 | 0.7580 | 5.0348 | 0.0856 | 0.0339 | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | CAR2 | EOF | CAR | FBM | 0.0939 | 30 | 0.1002 | 210.0 | 251.00 | TRUE | 1.5200 | 0.6370 | 2.160 | TRUE | 1.370 | TRUE | 0.0182 | TRUE | 0.0483 | FALSE | 0.6660 | TRUE | -0.0232 | TRUE | 0.6410 | 649372.000 | 0.5265 | 0.2700 | 136.3681 | 1.4026 | 0.8896 | 300.6372 | 3.0923 | 1.9613 | 12.8477 | 0.1321 | 0.0838 | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0928 | 30 | 0.1550 | 2073.3 | 2530.00 | TRUE | 3.7700 | 0.1550 | 3.930 | TRUE | 9.830 | TRUE | 0.0427 | TRUE | 0.1100 | FALSE | 0.3750 | TRUE | -0.0221 | TRUE | 0.3500 | 1942390.000 | 1.5750 | 0.9926 | 4027.2219 | 7.6336 | 19.0937 | 8878.4135 | 16.8290 | 42.0940 | 466.3032 | 0.8839 | 2.2108 | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | MUR2 | EOF | MUR | FBM | 0.0934 | 30 | 0.1535 | 2003.3 | 3180.00 | TRUE | 3.7700 | 3.3100 | 7.070 | TRUE | 8.830 | TRUE | 0.0192 | TRUE | 0.0750 | FALSE | 0.2620 | TRUE | -0.0156 | TRUE | 0.2370 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0914 | 30 | 0.1085 | 570.0 | 530.00 | TRUE | 1.2400 | 1.0500 | 2.290 | TRUE | 3.400 | TRUE | 0.0102 | TRUE | 0.1830 | FALSE | 0.0417 | TRUE | -0.0179 | TRUE | 0.0167 | 620733.000 | 0.5033 | 0.5819 | 353.8178 | 1.4215 | 2.1105 | 780.0267 | 3.1338 | 4.6528 | 75.1471 | 0.3019 | 0.4482 | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | SCH2 | EOF | SCH | FBM | 0.0924 | 30 | 0.2076 | 3840.0 | 2360.00 | TRUE | 3.4700 | 3.4200 | 6.890 | TRUE | 13.200 | TRUE | 0.0450 | TRUE | 0.2750 | FALSE | 0.1300 | TRUE | -0.0144 | TRUE | 0.1050 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0933 | 30 | 0.1077 | 480.0 | 822.00 | TRUE | 1.0200 | 0.4300 | 1.450 | TRUE | 1.950 | TRUE | 0.1510 | TRUE | 0.0174 | FALSE | 0.0659 | TRUE | -0.0199 | TRUE | 0.0409 | 851901.000 | 0.6908 | 0.5801 | 408.9125 | 1.2353 | 1.6612 | 901.4885 | 2.7232 | 3.6623 | 63.0853 | 0.1906 | 0.2563 | NA | NA | NA | NA | cover |
| 2020-02-08 | TRUE | SIM2 | EOF | SIM | FBM | 0.0953 | 30 | 0.1183 | 766.7 | 913.00 | TRUE | 1.3400 | 0.4610 | 1.800 | TRUE | 2.540 | TRUE | 0.0009 | TRUE | 0.0056 | FALSE | 0.2030 | TRUE | -0.0243 | TRUE | 0.1780 | 1194057.000 | 0.9682 | 0.6605 | 915.4437 | 2.1493 | 3.0329 | 2018.1872 | 4.7384 | 6.6863 | 114.7349 | 0.2694 | 0.3801 | NA | NA | NA | NA | cover |
| 2020-02-19 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0939 | 40 | 0.1450 | 1277.5 | 2030.00 | TRUE | 2.4100 | 3.1300 | 5.540 | TRUE | 5.700 | TRUE | 0.0930 | TRUE | 0.1670 | FALSE | 0.1350 | TRUE | -0.0176 | TRUE | 0.1335 | 678096.000 | 0.5498 | 0.3245 | 866.2676 | 3.7567 | 3.8651 | 1909.7736 | 8.2819 | 8.5211 | 93.9387 | 0.4074 | 0.4191 | NA | NA | NA | NA | cover |
| 2020-02-19 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0936 | 40 | 0.1940 | 2510.0 | 4200.00 | TRUE | 3.9800 | 4.9500 | 8.930 | TRUE | 10.000 | TRUE | 0.0551 | TRUE | 0.0642 | FALSE | 0.2470 | TRUE | -0.0191 | TRUE | 0.2455 | 254701.000 | 0.2065 | 0.1195 | 639.2995 | 2.2745 | 2.5470 | 1409.3997 | 5.0143 | 5.6151 | 67.9884 | 0.2419 | 0.2709 | NA | NA | NA | NA | cover |
| 2020-02-19 | TRUE | HB | INST | NA | NA | 0.0936 | 80 | 0.0990 | 67.5 | 96.10 | TRUE | 0.7180 | 0.8450 | 1.560 | TRUE | 1.070 | TRUE | 0.1010 | TRUE | 0.1120 | FALSE | 0.0545 | TRUE | -0.0167 | TRUE | 0.0530 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 11.73 | 99.4 | 135.0 | 8.6 | cover |
| 2020-02-19 | TRUE | PB | INST | NA | NA | 0.0932 | 80 | 0.1020 | 110.0 | 188.00 | TRUE | 0.8070 | 1.2200 | 2.030 | TRUE | 1.410 | TRUE | 0.2430 | TRUE | 0.0790 | FALSE | 0.2660 | TRUE | -0.0139 | TRUE | 0.2645 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.65 | 82.2 | 268.6 | 8.9 | cover |
| 2020-02-19 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0933 | 40 | 0.1260 | 817.5 | 957.00 | TRUE | 1.5900 | 1.4000 | 3.000 | TRUE | 3.070 | TRUE | 0.0344 | TRUE | 0.0876 | FALSE | 0.2600 | TRUE | -0.0205 | TRUE | 0.2585 | 318964.000 | 0.2586 | 0.0592 | 260.7531 | 0.9569 | 0.9792 | 574.8562 | 2.1096 | 2.1588 | 10.9726 | 0.0403 | 0.0412 | NA | NA | NA | NA | cover |
| 2020-02-19 | TRUE | PBR2 | EOF | PBR | FBM | 0.0963 | 40 | 0.1780 | 2042.5 | 2740.00 | TRUE | 2.4700 | 3.5100 | 5.970 | TRUE | 5.230 | TRUE | 0.0639 | TRUE | 0.0819 | FALSE | 0.0387 | TRUE | -0.0238 | TRUE | 0.0372 | 24577.000 | 0.0199 | 0.0100 | 50.1985 | 0.1467 | 0.1285 | 110.6677 | 0.3235 | 0.2834 | 4.6324 | 0.0135 | 0.0119 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0932 | 40 | 0.1151 | 547.5 | 978.00 | TRUE | 1.1200 | 0.6860 | 1.810 | TRUE | 2.250 | TRUE | -0.0021 | TRUE | 0.0284 | TRUE | 0.0256 | TRUE | -0.0111 | TRUE | 0.0241 | 289053.000 | 0.2344 | 0.3587 | 158.2565 | 0.5232 | 0.6504 | 348.8923 | 1.1534 | 1.4338 | 44.5016 | 0.1471 | 0.1829 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0924 | 40 | 0.1027 | 257.5 | 364.00 | TRUE | 0.6780 | 0.6670 | 1.340 | TRUE | 1.760 | TRUE | 0.0001 | TRUE | 0.1590 | TRUE | 0.0887 | TRUE | -0.0301 | TRUE | 0.0872 | 1433729.000 | 1.1625 | 0.6862 | 369.1852 | 1.9212 | 2.5234 | 813.9057 | 4.2355 | 5.5630 | 40.0347 | 0.2083 | 0.2736 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0932 | 40 | 0.1107 | 437.5 | 689.00 | TRUE | 1.0600 | 0.6860 | 1.740 | TRUE | 2.240 | TRUE | 0.0130 | TRUE | 0.1050 | TRUE | 0.1360 | TRUE | -0.0239 | TRUE | 0.1345 | 1439878.000 | 1.1675 | 0.6758 | 629.9466 | 2.5054 | 3.2253 | 1388.7803 | 5.5234 | 7.1106 | 66.9937 | 0.2664 | 0.3430 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | HB | INST | NA | NA | 0.0935 | 80 | 0.0968 | 41.3 | 59.50 | TRUE | 0.5600 | 0.5000 | 1.060 | TRUE | 0.703 | TRUE | 0.0483 | TRUE | 0.0860 | TRUE | 0.0661 | TRUE | -0.0287 | TRUE | 0.0646 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 13.38 | 93.5 | 67.7 | 1.6 | cover |
| 2020-02-21 | TRUE | MOS1 | EOF | MOS | CCMT | 0.0918 | 40 | 0.1187 | 672.5 | 868.00 | TRUE | 1.5300 | 1.0200 | 2.550 | TRUE | 3.680 | TRUE | 0.0163 | TRUE | 0.0963 | TRUE | 0.2160 | TRUE | -0.0226 | TRUE | 0.2145 | 830067.000 | 0.6731 | 0.4200 | 558.2201 | 2.1167 | 3.0546 | 1230.6519 | 4.6664 | 6.7343 | 63.9965 | 0.2427 | 0.3502 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | MOS2 | EOF | MOS | FBM | 0.0931 | 40 | 0.1410 | 1197.5 | 1610.00 | TRUE | 2.3000 | 1.0900 | 3.390 | TRUE | 4.820 | TRUE | 0.0215 | TRUE | 0.0448 | TRUE | 0.2760 | TRUE | -0.0243 | TRUE | 0.2745 | 223941.000 | 0.1816 | 0.1131 | 268.1693 | 0.7592 | 1.0794 | 591.2061 | 1.6736 | 2.3796 | 30.6961 | 0.0869 | 0.1236 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | PB | INST | NA | NA | 0.0932 | 80 | 0.1121 | 236.3 | 469.00 | TRUE | 0.9730 | 0.4570 | 1.430 | TRUE | 1.610 | TRUE | 0.0316 | TRUE | 0.0518 | TRUE | 0.2300 | TRUE | -0.0110 | TRUE | 0.2285 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 13.03 | 99.4 | 540.5 | 4.9 | cover |
| 2020-02-21 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0928 | 40 | 0.1112 | 460.0 | 674.00 | TRUE | 0.0941 | 0.9470 | 1.890 | TRUE | 1.640 | TRUE | -0.0073 | TRUE | 0.0936 | TRUE | 0.1220 | TRUE | -0.0167 | TRUE | 0.1205 | 1200944.000 | 0.9738 | 0.2230 | 552.4342 | 2.2698 | 1.9695 | 1217.8965 | 5.0040 | 4.3421 | 23.2467 | 0.0955 | 0.0829 | NA | NA | NA | NA | cover |
| 2020-02-21 | TRUE | PBR2 | EOF | PBR | FBM | 0.0917 | 40 | 0.1145 | 570.0 | 859.00 | TRUE | 1.2000 | 1.2700 | 2.470 | TRUE | 3.230 | TRUE | 0.0141 | TRUE | 0.0744 | TRUE | 0.2530 | TRUE | -0.0102 | TRUE | 0.2515 | 356971.000 | 0.2894 | 0.1454 | 203.4735 | 0.8817 | 1.1530 | 448.5776 | 1.9438 | 2.5419 | 18.7768 | 0.0814 | 0.1064 | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0938 | 40 | 0.0960 | 55.0 | 88.90 | TRUE | 0.7070 | 2.0000 | 2.710 | TRUE | 0.903 | TRUE | -0.0011 | TRUE | 0.0895 | TRUE | 0.0561 | FALSE | -0.0325 | TRUE | 0.0311 | 147489.000 | 0.1196 | 0.0642 | 8.1119 | 0.3997 | 0.1332 | 17.8835 | 0.8812 | 0.2936 | 0.7998 | 0.0394 | 0.0131 | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0948 | 40 | 0.1274 | 815.0 | 1050.00 | TRUE | 2.0700 | 1.1300 | 3.200 | TRUE | 4.380 | TRUE | -0.0091 | TRUE | 0.1070 | TRUE | 0.2270 | FALSE | -0.0329 | TRUE | 0.2020 | 407098.000 | 0.3301 | 0.2080 | 331.7849 | 1.3027 | 1.7831 | 731.4529 | 2.8720 | 3.9310 | 38.4166 | 0.1508 | 0.2065 | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | MUR2 | EOF | MUR | FBM | 0.0951 | 40 | 0.2093 | 2855.0 | 4680.00 | TRUE | 5.2700 | 0.3370 | 5.610 | TRUE | 8.930 | TRUE | -0.0240 | TRUE | 0.0392 | TRUE | 0.1680 | FALSE | -0.0328 | TRUE | 0.1430 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | SCH1 | EOF | SCH | CCMT | 0.0921 | 40 | 0.1006 | 212.5 | 380.00 | TRUE | 1.0200 | 1.6700 | 2.690 | TRUE | 1.870 | TRUE | -0.0088 | TRUE | 0.1130 | TRUE | 0.0231 | FALSE | -0.0310 | TRUE | -0.0019 | 125732.000 | 0.1019 | 0.1179 | 26.7181 | 0.3382 | 0.2351 | 58.9026 | 0.7456 | 0.5183 | 5.6746 | 0.0718 | 0.0499 | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | SCH2 | EOF | SCH | FBM | 0.0947 | 40 | 0.1295 | 870.0 | 857.00 | TRUE | 1.7800 | 2.1600 | 3.940 | TRUE | 4.400 | TRUE | -0.0196 | TRUE | 0.1690 | TRUE | 0.0652 | FALSE | -0.0315 | TRUE | 0.0402 | 316800.000 | 0.2569 | 0.3380 | 275.6160 | 1.2482 | 1.3939 | 607.6230 | 2.7518 | 3.0730 | 66.6253 | 0.3017 | 0.3370 | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0936 | 40 | 0.0960 | 60.0 | 189.00 | TRUE | 0.6470 | 1.0100 | 1.660 | TRUE | 0.471 | TRUE | 0.0081 | TRUE | 0.0007 | TRUE | 0.0352 | FALSE | -0.0314 | TRUE | 0.0102 | 114232.000 | 0.0926 | 0.0778 | 6.8539 | 0.1896 | 0.0538 | 15.1102 | 0.4180 | 0.1186 | 1.0574 | 0.0293 | 0.0083 | NA | NA | NA | NA | cover |
| 2020-02-27 | TRUE | SIM2 | EOF | SIM | FBM | 0.0919 | 40 | 0.1309 | 975.0 | 1350.00 | TRUE | 1.7700 | 2.5100 | 4.280 | TRUE | 2.890 | TRUE | -0.0397 | TRUE | 0.0114 | TRUE | 0.1140 | FALSE | -0.0356 | TRUE | 0.0890 | 130336.000 | 0.1057 | 0.0721 | 127.0776 | 0.5578 | 0.3767 | 280.1553 | 1.2298 | 0.8304 | 15.9270 | 0.0699 | 0.0472 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0924 | 40 | 0.1100 | 440.0 | 692.00 | TRUE | 1.5300 | 1.1600 | 2.680 | TRUE | 2.070 | TRUE | -0.0157 | TRUE | 0.0177 | TRUE | 0.0522 | FALSE | -0.0312 | TRUE | 0.0507 | 142485.000 | 0.1155 | 0.1768 | 62.6934 | 0.3819 | 0.2949 | 138.2139 | 0.8418 | 0.6502 | 17.6293 | 0.1074 | 0.0829 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | ARR2 | EOF | ARR | FBM | 0.0949 | 40 | 0.1231 | 705.0 | 1250.00 | TRUE | 1.5700 | 2.1200 | 3.680 | TRUE | 3.590 | TRUE | -0.0164 | TRUE | 0.0427 | TRUE | 0.1410 | FALSE | -0.0305 | TRUE | 0.1395 | 80667.000 | 0.0654 | 0.1131 | 56.8702 | 0.2969 | 0.2896 | 125.3761 | 0.6544 | 0.6384 | 18.0657 | 0.0943 | 0.0920 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | CAR1 | EOF | CAR | CCMT | 0.0950 | 40 | 0.1022 | 180.0 | 191.00 | TRUE | 0.9100 | 2.1300 | 3.040 | TRUE | 1.670 | TRUE | -0.0082 | TRUE | 0.0744 | TRUE | 0.2140 | FALSE | -0.0302 | TRUE | 0.1890 | 2086630.000 | 1.6919 | 0.9080 | 375.5934 | 6.3434 | 3.4847 | 828.0332 | 13.9846 | 7.6823 | 37.0319 | 0.6254 | 0.3436 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | CAR2 | EOF | CAR | FBM | 0.0947 | 40 | 0.1100 | 382.5 | 562.00 | TRUE | 1.5300 | 1.7200 | 3.250 | TRUE | 2.250 | TRUE | -0.0047 | TRUE | 0.0491 | TRUE | 0.4200 | FALSE | -0.0343 | TRUE | 0.3950 | 2255954.000 | 1.8292 | 0.9381 | 862.9024 | 7.3319 | 5.0759 | 1902.3546 | 16.1638 | 11.1903 | 81.2972 | 0.6908 | 0.4782 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0942 | 40 | 0.1027 | 212.5 | 327.00 | TRUE | 1.2600 | 1.2800 | 2.540 | TRUE | 1.890 | TRUE | -0.0330 | TRUE | 0.1060 | TRUE | 0.3800 | FALSE | -0.0314 | TRUE | 0.3785 | 575089.000 | 0.4663 | 0.2752 | 122.2064 | 1.4607 | 1.0869 | 269.4163 | 3.2203 | 2.3962 | 13.2522 | 0.1584 | 0.1179 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0942 | 40 | 0.1059 | 292.5 | 420.00 | TRUE | 2.1200 | 1.0700 | 3.180 | TRUE | 1.770 | TRUE | -0.0042 | TRUE | 0.0671 | TRUE | 0.8790 | FALSE | -0.0320 | TRUE | 0.8775 | 667570.000 | 0.5413 | 0.3133 | 195.2642 | 2.1229 | 1.1816 | 430.4795 | 4.6801 | 2.6050 | 20.7660 | 0.2258 | 0.1257 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | MOS1 | EOF | MOS | CCMT | 0.0913 | 40 | 0.1097 | 460.0 | 842.00 | TRUE | 1.3000 | 2.0300 | 3.340 | TRUE | 3.130 | TRUE | -0.0139 | TRUE | 0.0884 | TRUE | 0.1210 | FALSE | -0.0317 | TRUE | 0.1195 | 325831.000 | 0.2642 | 0.1649 | 149.8823 | 1.0883 | 1.0199 | 330.4304 | 2.3992 | 2.2484 | 17.1831 | 0.1248 | 0.1169 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | MOS2 | EOF | MOS | FBM | 0.0954 | 40 | 0.1141 | 467.5 | 815.00 | TRUE | 1.5500 | 1.5700 | 3.120 | TRUE | 2.700 | TRUE | -0.0081 | TRUE | 0.0315 | TRUE | 0.3820 | FALSE | -0.0370 | TRUE | 0.3805 | 82189.000 | 0.0666 | 0.0415 | 38.4234 | 0.2564 | 0.2219 | 84.7081 | 0.5653 | 0.4892 | 4.3981 | 0.0294 | 0.0254 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0962 | 40 | 0.1203 | 602.5 | 912.00 | TRUE | 4.4700 | 1.5800 | 6.060 | TRUE | 3.490 | TRUE | 0.0106 | TRUE | 0.1010 | TRUE | 2.4500 | FALSE | -0.0307 | TRUE | 2.4250 | 1517929.000 | 1.2308 | 0.7757 | 914.5522 | 9.1986 | 5.2976 | 2016.2218 | 20.2793 | 11.6790 | 105.8940 | 1.0651 | 0.6134 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | MUR2 | EOF | MUR | FBM | 0.0923 | 40 | 0.1233 | 775.0 | 1406.00 | TRUE | 4.4100 | 1.4300 | 5.840 | TRUE | 3.780 | TRUE | 0.0338 | TRUE | 0.0827 | TRUE | 2.4500 | FALSE | -0.0276 | TRUE | 2.4250 | 11920.000 | 0.0097 | 0.0071 | 9.2380 | 0.0696 | 0.0451 | 20.3661 | 0.1535 | 0.0993 | 1.2626 | 0.0095 | 0.0062 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | PB | INST | NA | NA | 0.0942 | 40 | 0.1136 | 485.0 | 972.00 | TRUE | 2.2900 | 1.1900 | 3.480 | TRUE | 3.270 | TRUE | -0.0039 | TRUE | 0.0870 | TRUE | 0.5540 | FALSE | -0.0330 | TRUE | 0.5525 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | 9.40 | 97.8 | 865.6 | 17.4 | cover |
| 2020-03-05 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0938 | 40 | 0.1023 | 212.5 | 231.00 | TRUE | 0.6410 | 1.0500 | 1.690 | TRUE | 1.630 | TRUE | -0.0306 | TRUE | 0.0737 | TRUE | 0.0594 | FALSE | -0.0316 | TRUE | 0.0579 | 883190.000 | 0.7161 | 0.1640 | 187.6779 | 1.4926 | 1.4396 | 413.7546 | 3.2906 | 3.1737 | 7.8976 | 0.0628 | 0.0606 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | PBR2 | EOF | PBR | FBM | 0.0950 | 40 | 0.1027 | 192.5 | 248.00 | TRUE | 0.5730 | 1.2800 | 1.850 | TRUE | 1.620 | TRUE | -0.0186 | TRUE | 0.0281 | TRUE | 0.1040 | FALSE | -0.0361 | TRUE | 0.1025 | 94386.000 | 0.0765 | 0.0384 | 18.1693 | 0.1746 | 0.1529 | 40.0560 | 0.3850 | 0.3371 | 1.6767 | 0.0161 | 0.0141 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0962 | 40 | 0.1002 | 100.0 | 177.00 | TRUE | 0.6720 | 0.7660 | 1.440 | TRUE | 0.719 | TRUE | 0.0051 | TRUE | 0.0102 | TRUE | 0.0945 | FALSE | -0.0333 | TRUE | 0.0695 | 712603.000 | 0.5778 | 0.4852 | 71.2603 | 1.0261 | 0.5124 | 157.1005 | 2.2622 | 1.1296 | 10.9937 | 0.1583 | 0.0790 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | SIM2 | EOF | SIM | FBM | 0.0924 | 40 | 0.1039 | 287.5 | 509.00 | TRUE | 1.5600 | 0.7030 | 2.260 | TRUE | 1.130 | TRUE | 0.0136 | TRUE | 0.0091 | TRUE | 0.6360 | FALSE | -0.0344 | TRUE | 0.6110 | 819814.000 | 0.6647 | 0.4535 | 235.6965 | 1.8528 | 0.9264 | 519.6166 | 4.0846 | 2.0423 | 29.5405 | 0.2322 | 0.1161 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | STU1 | EOF | STU | CCMT | 0.0943 | 40 | 0.1082 | 347.5 | 643.00 | TRUE | 1.3300 | 0.6440 | 1.980 | TRUE | 2.280 | TRUE | -0.0246 | TRUE | 0.0625 | TRUE | 0.0353 | FALSE | -0.0316 | TRUE | 0.0338 | 868843.000 | 0.7045 | 0.2821 | 301.9229 | 1.7203 | 1.9810 | 665.6193 | 3.7926 | 4.3672 | 22.2095 | 0.1265 | 0.1457 | NA | NA | NA | NA | cover |
| 2020-03-05 | TRUE | STU2 | EOF | STU | FBM | 0.0969 | 40 | 0.1287 | 795.0 | 864.00 | TRUE | 1.7400 | 2.1100 | 3.840 | TRUE | 3.900 | TRUE | -0.0250 | TRUE | 0.0612 | TRUE | 0.2550 | FALSE | -0.0321 | TRUE | 0.2535 | 131119.000 | 0.1063 | 0.0805 | 104.2396 | 0.5035 | 0.5114 | 229.8066 | 1.1100 | 1.1274 | 14.4988 | 0.0700 | 0.0711 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | ARR1 | EOF | ARR | CCMT | 0.0916 | 40 | 0.1070 | 385.0 | 483.00 | TRUE | 1.0800 | 1.4300 | 2.500 | TRUE | 2.140 | TRUE | 0.2700 | TRUE | 0.0168 | TRUE | 0.0417 | FALSE | -0.0219 | TRUE | 0.0402 | 63574.000 | 0.0515 | 0.0789 | 24.4760 | 0.1589 | 0.1360 | 53.9598 | 0.3504 | 0.2999 | 6.8826 | 0.0447 | 0.0383 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | DCDC1 | EOF | DCDC | CCMT | 0.0924 | 40 | 0.0988 | 160.0 | 266.00 | TRUE | 0.7660 | 1.1800 | 1.950 | TRUE | 1.630 | TRUE | -0.0271 | TRUE | 0.1090 | TRUE | 0.1860 | FALSE | -0.0326 | TRUE | 0.1845 | 360865.000 | 0.2926 | 0.1727 | 57.7384 | 0.7037 | 0.5882 | 127.2901 | 1.5513 | 1.2968 | 6.2612 | 0.0763 | 0.0638 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | DCDC2 | EOF | DCDC | FBM | 0.0935 | 40 | 0.1043 | 270.0 | 402.00 | TRUE | 1.4600 | 1.0900 | 2.540 | TRUE | 1.880 | TRUE | -0.0263 | TRUE | 0.0749 | TRUE | 0.5020 | FALSE | -0.0338 | TRUE | 0.5005 | 545401.000 | 0.4422 | 0.2560 | 147.2583 | 1.3853 | 1.0254 | 324.6456 | 3.0541 | 2.2605 | 15.6607 | 0.1473 | 0.1090 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | MOS1 | EOF | MOS | CCMT | 0.0921 | 40 | 0.1017 | 240.0 | 384.00 | TRUE | 0.7930 | 1.3800 | 2.170 | TRUE | 2.360 | TRUE | 0.0123 | TRUE | 0.1280 | TRUE | 0.0357 | FALSE | -0.0317 | TRUE | 0.0342 | 326572.000 | 0.2648 | 0.1652 | 78.3773 | 0.7087 | 0.7707 | 172.7906 | 1.5623 | 1.6991 | 8.9855 | 0.0812 | 0.0884 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | MOS2 | EOF | MOS | FBM | 0.0947 | 40 | 0.1090 | 357.5 | 518.00 | TRUE | 0.9360 | 1.3300 | 2.270 | TRUE | 2.000 | TRUE | -0.0315 | TRUE | 0.0356 | TRUE | 0.1630 | FALSE | -0.0320 | TRUE | 0.1615 | 22553.000 | 0.0183 | 0.0114 | 8.0627 | 0.0512 | 0.0451 | 17.7750 | 0.1129 | 0.0994 | 0.9229 | 0.0059 | 0.0052 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | PBR1 | EOF | PBR | CCMT | 0.0926 | 40 | 0.0994 | 170.0 | 157.00 | TRUE | 0.5380 | 0.6440 | 1.180 | TRUE | 1.370 | TRUE | -0.0172 | TRUE | 0.0997 | TRUE | 0.0373 | FALSE | -0.0302 | TRUE | 0.0358 | 307367.000 | 0.2492 | 0.0571 | 52.2524 | 0.3627 | 0.4211 | 115.1956 | 0.7996 | 0.9283 | 2.1988 | 0.0153 | 0.0177 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | PBR2 | EOF | PBR | FBM | 0.0915 | 40 | 0.1044 | 322.5 | 346.00 | TRUE | 0.5220 | 1.6800 | 2.200 | TRUE | 1.940 | TRUE | -0.0225 | TRUE | 0.0335 | TRUE | 0.0290 | FALSE | -0.0315 | TRUE | 0.0275 | 40670.000 | 0.0330 | 0.0166 | 13.1161 | 0.0895 | 0.0789 | 28.9157 | 0.1973 | 0.1739 | 1.2104 | 0.0083 | 0.0073 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | STU1 | EOF | STU | CCMT | 0.0930 | 40 | 0.1052 | 305.0 | 468.00 | TRUE | 1.0800 | 0.2410 | 1.320 | TRUE | 1.970 | TRUE | -0.0174 | TRUE | 0.1080 | TRUE | 0.0356 | FALSE | -0.0325 | TRUE | 0.0341 | 271959.000 | 0.2205 | 0.0883 | 82.9475 | 0.3590 | 0.5358 | 182.8660 | 0.7914 | 1.1811 | 6.1016 | 0.0264 | 0.0394 | NA | NA | NA | NA | cover |
| 2020-03-10 | TRUE | STU2 | EOF | STU | FBM | 0.0948 | 40 | 0.1296 | 870.0 | 882.00 | TRUE | 1.1700 | 1.0500 | 2.220 | TRUE | 3.060 | TRUE | -0.0187 | TRUE | 0.0384 | TRUE | 0.1160 | FALSE | -0.0312 | TRUE | 0.1145 | 17776.000 | 0.0144 | 0.0109 | 15.4651 | 0.0395 | 0.0544 | 34.0944 | 0.0870 | 0.1199 | 2.1511 | 0.0055 | 0.0076 | NA | NA | NA | NA | cover |
| 2020-03-12 | TRUE | MUR1 | EOF | MUR | CCMT | 0.0928 | 40 | 0.1144 | 540.0 | 865.00 | TRUE | 3.4800 | 1.7400 | 5.220 | TRUE | 3.550 | TRUE | 0.0118 | TRUE | 0.1170 | TRUE | 1.4400 | FALSE | -0.0310 | TRUE | 1.4150 | 97219.000 | 0.0788 | 0.0497 | 52.4983 | 0.5075 | 0.3451 | 115.7377 | 1.1188 | 0.7609 | 6.0787 | 0.0588 | 0.0400 | NA | NA | NA | NA | cover |
| 2020-03-12 | TRUE | MUR2 | EOF | MUR | FBM | 0.0924 | 40 | 0.1208 | 710.0 | 952.00 | TRUE | 2.9800 | 0.1330 | 3.110 | TRUE | 3.970 | TRUE | -0.0099 | TRUE | 0.0844 | TRUE | 0.9920 | FALSE | -0.0310 | TRUE | 0.9670 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | cover |
| 2020-03-12 | TRUE | SIM1 | EOF | SIM | CCMT | 0.0922 | 40 | 0.0940 | 45.0 | 70.10 | TRUE | 2.1200 | 1.5800 | 3.710 | TRUE | 0.694 | TRUE | 0.0409 | TRUE | 0.0170 | TRUE | 1.1900 | FALSE | -0.0319 | TRUE | 1.1650 | 65977.000 | 0.0535 | 0.0449 | 2.9690 | 0.2448 | 0.0458 | 6.5454 | 0.5396 | 0.1009 | 0.4580 | 0.0378 | 0.0071 | NA | NA | NA | NA | cover |
Next we want to evaluate all the controls we put in place to make sure our data is sound. These included labratory standards and standard operating procedures. If the minimum amount of quality objectives (80%) were not met for for each sampling trip the values will be dropped and not considered for analysis.
First, we will evaluate the logical for the overall trip objectives.
conc <- c(10,11,13:15,17,19,21,23,25,27,31:39)
cat(paste0("`", names(dat[conc]), "` "), sep = "", fill = TRUE)
TSS.mgl TUR.ntu NO3.NO2.mgl TKN.mgl TN.mgl TIP.mgl
NH3.mgl OrthoP.mgl NOx.mgl NO2.mgl NO3.mgl TSS.kg
TN.kg TIP.kg TSS.lb TN.lb TIP.lb TSS.lbac TN.lbac
TIP.lbac
for (i in conc) {
dat[,i] <- ifelse(
dat[,2] == FALSE,
NA,
dat[,i]
)
}
This will replace concentration and load data in the above columns with “NA” where the logical in column “qaqc.check” equals “FALSE” for their respective records.
After that we are going to evaluate the the labratory standards used during each analysis batch. Here the code looks to in the individual analytes and their respective logical checks. Generally this is in the neighboring column. The exception is the NO3.mgl column; this checks against the NOx.mgl standard.
logic <- c(12, 16, 18, 20, 22, 24, 26)
for (i in logic) {
dat[,i - 1] <- ifelse(
dat[,i] == FALSE,
NA,
dat[,i - 1]
)
}
dat[,27] <- ifelse(
dat[,24] == FALSE,
NA,
dat[,27]
)
This step leaves us with a data set where any nutrient concentration values which don’t meet our quality standard are omitted. This step is then repeated to omit loads which are associated with these omitted records.
# replace tss loads
for (i in c(21, 24, 27)) {
dat[,10 + i] <- ifelse(
is.na(dat[,10]) == TRUE,
NA,
dat[,10 + i]
)
}
# replace tn loads
for (i in c(17, 20, 23)) {
dat[,15 + i] <- ifelse(
is.na(dat[,15]) == TRUE,
NA,
dat[,15 + i]
)
}
# replace tip loads
for (i in c(16, 19, 22)) {
dat[,17 + i] <- ifelse(
is.na(dat[,17]) == TRUE,
NA,
dat[,17 + i]
)
}
We then remove the logical columns in our next little bit of housekeeping.
dat <- dat %>%
select(-c(2, 12, 16, 18, 20, 22, 24, 26))
rm(conc, i, logic)
Now that we have omitted values that were not up to our quality standards we will use a correlation method to impute those values missing from our data set.
Sediment bound and associated nutrients are grouped together.
impdat <-
mice(
data = dat[,c(9, 10, 14)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# randomly select imputed dataset and combine with complete dataset
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
#stripplot(impdat)
# do imputed points fall in likely area of distrib.?
dat[,c(9, 10, 14)] <- compdat[,1:ncol(compdat)]
Orthophosphate is grouped with Total Inorganic Phosphorus
impdat <-
mice(
data = dat[,c(14, 16)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# randomly select imputed dataset and combine with complete dataset
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
#stripplot(impdat)
# do imputed points fall in likely area of distrib.?
dat[,c(14, 16)] <- compdat[,1:ncol(compdat)]
Nitrogen and associated complexes grouped together.
#PerformanceAnalytics::chart.Correlation(dat[,c(11:13, 15, 17:19)])
#PerformanceAnalytics::chart.Correlation(dat[,c(11:12, 15, 17)])
# NO3NO2 - NOx - NO3
# TKN - TN
# NH3 - TN
# NOx - NO3NO2
# NO3 - NOx
impdat <-
mice(
data = dat[,c(11:12, 15, 17)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
#summary(impdat)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
dat[,c(11:12, 15, 17)] <- compdat[,1:ncol(compdat)]
# ..TN ------------------------------------------------------------
#PerformanceAnalytics::chart.Correlation(dat[,c(11:13, 15, 17:19)])
impdat <-
mice(
data = dat[,c(11:13, 15, 17)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
#summary(impdat)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
dat[,13] <- compdat$TN.mgl
# NO3 ------------------------------------------
#PerformanceAnalytics::chart.Correlation(dat[,c(11:12, 15, 17, 19)])
impdat <-
mice(
data = dat[,c(11:12, 15, 19)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
#summary(impdat)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
stripplot(impdat)
# do imputed points fall in likely area of distrib.?
dat[,c(11:12, 15, 19)] <- compdat[,1:ncol(compdat)]
This should leave us with a data set that has values removed for QA then imputed based on their correlation to other analytes in the data set.
Here we want to correct any concentration values that are below our method detection limits. When less than 5% of the data set, values below our method detection limits are replaced with half the MDL.
if (sum(dat$TSS.mgl < 5, na.rm = TRUE) / sum(!is.na(dat$TSS.mgl)) < 0.05) {
print("Less than 5% of TSS values are below MDL")
print(sum(dat$TSS.mgl < 5, na.rm = TRUE) / sum(!is.na(dat$TSS.mgl)) *100)
dat <- dat %>% mutate(TSS.mgl = replace(TSS.mgl, TSS.mgl < 5, 5/2))
} else {
print("More than 5% of TSS values are below MDL and")
print("the values have remained unchanged")
print(dat %>% count(TSS.mgl < 5))
print(sum(dat$TSS.mgl < 5, na.rm = TRUE) / sum(!is.na(dat$TSS.mgl)) *100)}
## [1] "Less than 5% of TSS values are below MDL"
## [1] 0.6147541
## [1] "Less than 5% of TUR values are below MDL"
## [1] 0
## [1] "Less than 5% of NO3.NO2 values are below MDL"
## [1] 2.04918
## [1] "Less than 5% of TN values are below MDL"
## [1] 4.508197
## [1] "Less than 5% of TIP values are below MDL"
## [1] 0
## [1] "More than 5% of NH3 values are below MDL and"
## [1] "the values have remained unchanged"
## NH3.mgl < 0.01 n
## 1 FALSE 403
## 2 TRUE 85
## [1] 17.41803
## [1] "Less than 5% of Ortho Phosphorus values are below MDL"
## [1] 2.868852
## [1] "Less than 5% of NOx values are below MDL"
## [1] 4.303279
## [1] "More than 5% of NO2 values are below MDL and"
## [1] "the values have remained unchanged"
## NO2.mgl < 0.05 n
## 1 FALSE 27
## 2 TRUE 359
## 3 NA 102
## [1] 93.00518
## [1] "5% of NO3 values are below MDL"
## [1] 4.713115
Here we can see that most of our nitrite values are illogical and as such we will not be evaluating them henceforth. Further, ‘NO3.mgl’ is a calculated value based on these illogical ‘NO2.mgl’ values. We will only consider combined nitrate-nitrate as ‘NOx.mgl’ which was directly measured and generally met the standard outlined in the lachat operating procedure.
Here we need to make another round of imputed values for the large number of NH3 values that were either negative or below the method detection limit (16%). For this case we imputed values based on correlation to other variables rather than substituting 1/2 of the method detection limit. Further, we need to clean up the 9 illogical TKN values that are < 0.
#NH3 ---------------
dat$NH3.mgl <-
ifelse(
dat$NH3.mgl < .01,
NA,
dat$NH3.mgl
)
impdat <-
mice(
data = dat[,c(11:13, 15, 17)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# randomly select imputed dataset and combine with complete dataset
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
# stripplot(impdat)
# do imputed points fall in likely area of distrib.?
dat[,c(11:13, 15, 17)] <- compdat[,1:ncol(compdat)]
# TKN-------------------
print(
paste(
sum(dat$TKN.mgl < 0, na.rm = TRUE) / sum(!is.na(dat$TKN.mgl)) *100,
"% of TKN values are below 0"
)
)
## [1] "1.84426229508197 % of TKN values are below 0"
dat$TKN.mgl <-
ifelse(
dat$TKN.mgl <= 0,
NA,
dat$TKN.mgl
)
#summary(dat$TKN.mgl)
impdat <-
mice(
data = dat[,c(11:13, 15, 17)],
m = 5,
maxit = 50,
method = 'pmm',
seed = 1234,
printFlag = FALSE
)
set.seed(1234) # set seed for random imputed dataset selection
compdat <- complete(impdat, round(runif(1, 1, 5), 0))
# randomly select imputed dataset and combine with complete dataset
# inspect imputed data
# imputed datasets in magenta; observed in blue. are values plausible?
stripplot(impdat)
# do imputed points fall in likely area of distrib.?
dat[,c(11:13, 15, 17)] <- compdat[,1:ncol(compdat)]
Now that we’ve fixed any of our observations that were below our method detection limits we can calculate loads such that they will reflect those changes.
#removes loads that were previously calculated in excel
dat <- dat[-c(22:31)]
#introduces the area of the fields to the data set
a <- as.data.frame(cbind(c("ARR1", "ARR2", "PBR1", "PBR2", "STU1", "STU2", "MOS1", "MOS2", "DCDC1",
"DCDC2", "SCH1", "SCH2", "PRE1", "PRE2", "MUZ1", "MUZ2", "SIM1", "SIM2", "MUR1", "MUR2", "CAR1", "CAR2"),
c(14.55, 15.48, 52.39, 23.89, 73.04, 34.24, 19.23, 19.26, 20.33,
20.73, 10.38, 9.12, 36.62, 37.37, 19.29, 17.83, 14.29, 17.59, 19.04, 16.13, 22.36, 23.4)))
a <- as.data.frame(a) %>%
transform(V2= as.numeric(as.character(V2)))
dat <- merge(
dat,
a,
by.x = "sampleid",
by.y = "V1",
all.x = TRUE,
all.y = FALSE
)
names(dat)[names(dat) == "V2"] <- "acres"
# change acres where we switched fields
dat[dat$sampleid == "ARR1",]$acres <-
ifelse(
dat[dat$sampleid == "ARR1",]$Date >="2019-10-18",
7.84, # New field size
14.55 # old field size
)
dat[dat$sampleid == "ARR2",]$acres <-
ifelse(
dat[dat$sampleid == "ARR2",]$Date >="2019-10-18",
6.94, # New field size
15.48 # old field size
)
dat[dat$sampleid == "STU1",]$acres <-
ifelse(
dat[dat$sampleid == "STU1",]$Date >="2019-12-5",
29.97, # New field size
73.04 # old field size
)
dat[dat$sampleid == "STU2",]$acres <-
ifelse(
dat[dat$sampleid == "STU2",]$Date >="2019-12-5",
15.85, # New field size
34.24 # old field size
)
#rearrange columns so subsequent code doesn't get thrown off
dat <- dat[c(2,1,3:27)]
###calculate loads
dat$in.runoff.ac <- dat$acft.discharge * 12 / dat$acres
dat$TSS.kg <- dat$TSS.mgl * dat$event.disch.l / 1000000
dat$TN.kg <- dat$TN.mgl * dat$event.disch.l / 1000000
dat$TIP.kg <- dat$TIP.mgl * dat$event.disch.l / 1000000
dat$TSS.lb <- dat$TSS.kg * 2.2046
dat$TN.lb <- dat$TN.kg * 2.2046
dat$TIP.lb <- dat$TIP.kg * 2.2046
dat$TSS.lbac <- dat$TSS.lb / dat$acres
dat$TN.lbac <- dat$TN.lb / dat$acres
dat$TIP.lbac <- dat$TIP.lb / dat$acres
#rearrange columns
dat <- dat[c(1:21,28:37,22:27)]
Now the data set has loads that reflect our changes resulting from our quality assurance, both MDL and standards.
This project is based on a paired field design. In preparation for later analysis we want to create another data frame that contains only events where the sampler on the treatment and the control field both sampled. We want to do this after QA so the dat.pair reflects any changes we made above.
dupedates <- function(data) {
filter(data,
duplicated(Date)|duplicated(Date, fromLast = TRUE) == TRUE
)
}
'%=%' = function(l, r, ...) UseMethod('%=%')
'%=%.lbunch' = function(l, r, ...) {
Envir = as.environment(-1)
if (length(r) > length(l))
warning("RHS has more args than LHS. Only first", length(l), "used.")
if (length(l) > length(r)) {
warning("LHS has more args than RHS. RHS will be repeated.")
r <- extendToMatch(r, l)
}
for (II in 1:length(l)) {
do.call('<-', list(l[[II]], r[[II]]), envir=Envir)
}
}
#....Grouping the left hand side
g = function(...) {
List = as.list(substitute(list(...)))[-1L]
class(List) = 'lbunch'
return(List)
}
#....Assigning and finding duplicate dates
g(arr, car, dcdc, mos, mur, muz, sch, sim, stu, pbr, pre) %=% list(
subset(dat, farm == "ARR") %>%
dupedates(),
subset(dat, farm == "CAR") %>%
dupedates(),
subset(dat, farm == "DCDC") %>%
dupedates(),
subset(dat, farm == "MOS") %>%
dupedates(),
subset(dat, farm == "MUR") %>%
dupedates(),
subset(dat, farm == "MUZ") %>%
dupedates(),
subset(dat, farm == "SCH") %>%
dupedates(),
subset(dat, farm == "SIM") %>%
dupedates(),
subset(dat, farm == "STU") %>%
dupedates(),
subset(dat, farm == "PBR") %>%
dupedates(),
subset(dat, farm == "PRE") %>%
dupedates()
)
#..Combining all of the these into one data frame and cleaning the environment
dat.pair <- rbind(arr, car, dcdc, mos, mur, muz, sch, sim, stu, pbr, pre)
# Combines all the individual farm data frames into
rm(arr, car, dcdc, mos, mur, muz, sch, sim, stu, pbr, pre)
# removes the farm data frames
and how about a looksy
dat.pair <- dat.pair[ order(dat.pair$Date, dat.pair$sampleid),]
kable(tail(dat.pair[,c(1:5,9:11)]), caption = "Table 3.1: Example of 'dat.pair'") %>%
kable_paper() %>%
remove_column(1)
| Date | sampleid | sample.type | farm | treatment | TSS.mgl | TUR.ntu | NO3.NO2.mgl |
|---|---|---|---|---|---|---|---|
| 2020-03-10 | PBR1 | EOF | PBR | CCMT | 170.0 | 157 | 0.538 |
| 2020-03-10 | PBR2 | EOF | PBR | FBM | 322.5 | 346 | 0.522 |
| 2020-03-10 | STU1 | EOF | STU | CCMT | 305.0 | 468 | 1.080 |
| 2020-03-10 | STU2 | EOF | STU | FBM | 870.0 | 882 | 1.170 |
| 2020-03-12 | MUR1 | EOF | MUR | CCMT | 540.0 | 865 | 3.480 |
| 2020-03-12 | MUR2 | EOF | MUR | FBM | 710.0 | 952 | 2.980 |
As you can see the data frame, dat.pair contains only records where samples were collected for both the treatment and control.
The next step we are going to tackle is calculating the reduction potential (or increase!) of the treatment. We do this by reducing the paired events into one record then subtracting the treatment value from the value of the control field. (FBM-CCMT) This difference is then considered relative to the control value as a percent reduction. +Positive values represent a reduction -Negative values represent negative reduction, ie an increase relative to the control.
# Now we use the paired dataframe to create this reduction potential dataframe.
# Here we create the new data frame and change the format of the paired data
# from a "long" format into a "wide" format so instead of every sample having
# its own row, the sample pairs each have their own row.
dat.reduct <- dat.pair %>%
pivot_wider(
id_cols = c(Date, farm, season),
names_from = treatment,
names_sep = ".",
# this is where you can add or remove columns you want to see.
values_from = names(dat.pair[,c(9:31)])
) %>%
as.data.frame()
# This is the difference code.
for (i in 4:48) {
if (i %% 2 == 0) {
dat.reduct[,ncol(dat.reduct) + 1] <- dat.reduct[,i + 1] - dat.reduct[,i]
# This names the column from where the data was taken.
names(dat.reduct)[ncol(dat.reduct)] <- names(dat.reduct)[i]
# the name is changed by replaceing "CCMT" with "dif" in the column title
names(dat.reduct)[ncol(dat.reduct)] <- gsub(
pattern = "CCMT",
replacement = "dif",
x = names(dat.reduct)[ncol(dat.reduct)]
)
# Then it moves to find the percent reduction in the same way as above.
dat.reduct[,ncol(dat.reduct) + 1] <- dat.reduct[,ncol(dat.reduct)] / dat.reduct[,i + 1] * 100
names(dat.reduct)[ncol(dat.reduct)] <- names(dat.reduct)[i]
names(dat.reduct)[ncol(dat.reduct)] <- gsub(
pattern = "CCMT",
replacement = "per",
x = names(dat.reduct)[ncol(dat.reduct)]
)
}
}
kable(tail(dat.reduct[c(1,2,4,5,50,51,6,7,52,53)]), caption = "Table 4.1: Example of 'dat.reduct'", digits = 3) %>%
kable_paper() %>% remove_column(1)
| Date | farm | TSS.mgl.CCMT | TSS.mgl.FBM | TSS.mgl.dif | TSS.mgl.per | TUR.ntu.CCMT | TUR.ntu.FBM | TUR.ntu.dif | TUR.ntu.per |
|---|---|---|---|---|---|---|---|---|---|
| 2020-03-05 | STU | 347.5 | 795.0 | 447.5 | 56.289 | 643 | 864 | 221 | 25.579 |
| 2020-03-10 | DCDC | 160.0 | 270.0 | 110.0 | 40.741 | 266 | 402 | 136 | 33.831 |
| 2020-03-10 | MOS | 240.0 | 357.5 | 117.5 | 32.867 | 384 | 518 | 134 | 25.869 |
| 2020-03-10 | PBR | 170.0 | 322.5 | 152.5 | 47.287 | 157 | 346 | 189 | 54.624 |
| 2020-03-10 | STU | 305.0 | 870.0 | 565.0 | 64.943 | 468 | 882 | 414 | 46.939 |
| 2020-03-12 | MUR | 540.0 | 710.0 | 170.0 | 23.944 | 865 | 952 | 87 | 9.139 |
Now we have new columns with a .dif and .per suffix. These represent absolute difference and relative reduction respectively.
We will come back to these reduction potential and paired data frames in just a moment when we start to summarize and visualize our data.
We now have much data to consider. Lets start with the basic stuff.
# total number of samples
length(dat$sampleid)
## [1] 488
# number of samples by type: Edge-of-Field
dat$sample.type[dat$sample.type == "EOF"] %>% length()
## [1] 442
# number of samples by type: Instream
dat$sample.type[dat$sample.type == "INST"] %>% length()
## [1] 46
# number of samples by treatment: Cover Crop - Minimum Tillage
length(dat$treatment[!is.na(dat$treatment) & dat$treatment == "CCMT"])
## [1] 243
# number of samples by treatment: Farmer Best Management
length(dat$treatment[!is.na(dat$treatment) & dat$treatment == "FBM"])
## [1] 199
# number of EOF samples by season
length(dat$season[dat$sample.type == "EOF" & dat$season == "cover"])
## [1] 273
length(dat$season[dat$sample.type == "EOF" & dat$season == "cash"])
## [1] 169
# number of paired sample events
length(dat.pair$sampleid)/2
## [1] 158
# during the cover crop season
length(dat.pair$sampleid[dat.pair$season == "cover"])/2
## [1] 101
# during the cash crop season
length(dat.pair$sampleid[dat.pair$season == "cash"])/2
## [1] 57
dat$month <- month(dat$Date)
dat$year <- year(dat$Date)
df <- table(dat$year, dat$month)
kable(df, col.names = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sept",
"Oct", "Nov", "Dec"), caption = "Table 5.1 : Samples collected by month") %>%
kable_paper()
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sept | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 0 | 45 | 27 | 10 | 15 | 11 | 26 | 0 | 11 | 4 | 7 | 6 |
| 2019 | 10 | 0 | 18 | 21 | 14 | 39 | 12 | 23 | 1 | 29 | 12 | 30 |
| 2020 | 46 | 42 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lets take a look at some summary statistics for the analytes.
df <- list()
for(i in 9:17) {
df1 <- mosaic::favstats(dat[dat$sample.type == "EOF",i])
df1$i <- names(dat[i])
df[[i -8]] <- df1
}
df <- do.call(
rbind,
df
)
df <- df[,c(10,1:9)]
knitr::kable(df, caption = "Table 5.2: Statistical summary of nutrient concentrations (EOF only)", digits = 4,
col.names = c('Analyte', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na') ) %>%
kable_paper() %>%
remove_column(1)
| Analyte | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | 2.5000 | 270.5000 | 630.0000 | 1480.6250 | 11212.00 | 1339.9326 | 1866.3768 | 442 | 0 |
| TUR.ntu | 9.2300 | 252.5000 | 816.5000 | 1902.5000 | 10340.00 | 1568.3602 | 2145.8004 | 442 | 0 |
| NO3.NO2.mgl | 0.1150 | 1.0100 | 2.0650 | 3.7075 | 36.50 | 3.1639 | 3.6227 | 442 | 0 |
| TKN.mgl | 0.0270 | 0.7198 | 1.2600 | 2.4050 | 169.00 | 2.6503 | 9.1090 | 442 | 0 |
| TN.mgl | 0.5000 | 2.1075 | 3.5100 | 6.1250 | 181.00 | 5.7916 | 10.6983 | 442 | 0 |
| TIP.mgl | 0.0750 | 1.8725 | 3.2900 | 5.4150 | 49.50 | 4.8574 | 5.1151 | 442 | 0 |
| NH3.mgl | 0.0102 | 0.0442 | 0.0946 | 0.2445 | 16.30 | 0.3922 | 1.2452 | 442 | 0 |
| OrthoP.mgl | 0.0050 | 0.0754 | 0.1530 | 0.2977 | 7.02 | 0.3060 | 0.5369 | 442 | 0 |
| NOx.mgl | 0.0035 | 0.1430 | 0.4275 | 1.3025 | 30.90 | 1.4738 | 2.8758 | 442 | 0 |
| Analyte | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | 19.0000 | 285.1250 | 630.0000 | 1616.8750 | 11212.00 | 1333.1367 | 1831.0265 | 316 | 0 |
| TUR.ntu | 9.2300 | 265.0000 | 819.5000 | 1752.5000 | 10340.00 | 1586.4333 | 2158.9337 | 316 | 0 |
| NO3.NO2.mgl | 0.1150 | 0.9228 | 1.7850 | 3.5950 | 36.50 | 2.9533 | 3.5559 | 316 | 0 |
| TKN.mgl | 0.0320 | 0.6988 | 1.2550 | 2.5175 | 169.00 | 2.9396 | 10.6948 | 316 | 0 |
| TN.mgl | 0.5000 | 1.9475 | 3.2900 | 6.0525 | 181.00 | 5.8660 | 12.2658 | 316 | 0 |
| TIP.mgl | 0.2000 | 1.8575 | 3.2200 | 5.4400 | 21.20 | 4.6288 | 4.2038 | 316 | 0 |
| NH3.mgl | 0.0102 | 0.0403 | 0.0834 | 0.1977 | 16.30 | 0.3411 | 1.3305 | 316 | 0 |
| OrthoP.mgl | 0.0050 | 0.0716 | 0.1400 | 0.2580 | 2.39 | 0.2475 | 0.3408 | 316 | 0 |
| NOx.mgl | 0.0035 | 0.1280 | 0.3295 | 1.1550 | 30.90 | 1.4051 | 3.0194 | 316 | 0 |
and this same code can be run again to utilize dat.treatment as a factor.
df <- list()
for(i in c(9:17,22,29,30,31)) {
df1 <- mosaic::favstats(dat[i] ~ dat$treatment)
df1$i <- names(dat[i])
df[[i -8]] <- df1
}
df <- do.call(
rbind,
df
)
df <- df[,c(11,1:10)]
knitr::kable(df, caption = "Table 5.4: Statistical summary of analytes by treatment (EOF only)", digits = 4,
col.names = c('Analyte', 'Treatment', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na')) %>%
kable_paper() %>%
collapse_rows(1)
| Analyte | Treatment | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | CCMT | 2.5000 | 206.7500 | 492.0000 | 1130.0000 | 11056.7000 | 1240.0519 | 1928.7611 | 243 | 0 |
| FBM | 2.5000 | 377.5000 | 835.0000 | 1960.0000 | 11212.0000 | 1461.8975 | 1784.4862 | 199 | 0 | |
| TUR.ntu | CCMT | 9.2300 | 184.5000 | 639.0000 | 1393.5000 | 9900.0000 | 1390.0697 | 2152.9275 | 243 | 0 |
| FBM | 9.2300 | 436.0000 | 952.0000 | 2240.6500 | 10340.0000 | 1786.0717 | 2122.1731 | 199 | 0 | |
| NO3.NO2.mgl | CCMT | 0.1150 | 0.9355 | 1.8800 | 3.7850 | 36.5000 | 3.2769 | 4.2602 | 243 | 0 |
| FBM | 0.1150 | 1.2200 | 2.3000 | 3.6550 | 16.3000 | 3.0260 | 2.6484 | 199 | 0 | |
| TKN.mgl | CCMT | 0.0320 | 0.7605 | 1.2300 | 2.2500 | 169.0000 | 2.8411 | 11.6290 | 243 | 0 |
| FBM | 0.0270 | 0.6810 | 1.2700 | 2.5700 | 45.5000 | 2.4173 | 4.4071 | 199 | 0 | |
| TN.mgl | CCMT | 0.5000 | 1.9300 | 3.3400 | 6.0650 | 181.0000 | 6.1093 | 13.4641 | 243 | 0 |
| FBM | 0.5000 | 2.4000 | 3.8100 | 6.2950 | 48.6000 | 5.4037 | 5.7514 | 199 | 0 | |
| TIP.mgl | CCMT | 0.0750 | 1.7200 | 3.0100 | 4.3700 | 49.5000 | 4.5371 | 5.4589 | 243 | 0 |
| FBM | 0.2000 | 2.0300 | 3.7800 | 7.0350 | 27.5000 | 5.2486 | 4.6446 | 199 | 0 | |
| NH3.mgl | CCMT | 0.0102 | 0.0482 | 0.1000 | 0.2700 | 16.3000 | 0.4322 | 1.4139 | 243 | 0 |
| FBM | 0.0106 | 0.0421 | 0.0834 | 0.2400 | 10.3000 | 0.3434 | 1.0027 | 199 | 0 | |
| OrthoP.mgl | CCMT | 0.0050 | 0.0804 | 0.1590 | 0.3740 | 7.0200 | 0.3524 | 0.6503 | 243 | 0 |
| FBM | 0.0050 | 0.0746 | 0.1430 | 0.2535 | 2.3900 | 0.2492 | 0.3455 | 199 | 0 | |
| NOx.mgl | CCMT | 0.0035 | 0.1225 | 0.3590 | 1.4800 | 30.9000 | 1.5910 | 3.2663 | 243 | 0 |
| FBM | 0.0035 | 0.1990 | 0.4560 | 1.2100 | 13.2000 | 1.3306 | 2.3115 | 199 | 0 | |
| in.runoff.ac | CCMT | 0.0006 | 0.0737 | 0.2643 | 0.6593 | 3.6195 | 0.4633 | 0.5702 | 224 | 19 |
| FBM | 0.0006 | 0.0599 | 0.2950 | 0.7238 | 4.3362 | 0.5213 | 0.6598 | 174 | 25 | |
| TSS.lbac | CCMT | 0.0032 | 7.1584 | 22.3401 | 76.0629 | 3213.3356 | 110.3339 | 303.7929 | 224 | 19 |
| FBM | 0.0027 | 9.4347 | 38.6530 | 128.5319 | 2633.0275 | 192.3576 | 432.5642 | 174 | 25 | |
| TN.lbac | CCMT | 0.0008 | 0.0545 | 0.1515 | 0.5091 | 20.8095 | 0.5543 | 1.5854 | 224 | 19 |
| FBM | 0.0010 | 0.0404 | 0.2271 | 0.6875 | 10.8072 | 0.7067 | 1.4067 | 174 | 25 | |
| TIP.lbac | CCMT | 0.0003 | 0.0493 | 0.1323 | 0.4041 | 11.1513 | 0.4358 | 0.9738 | 224 | 19 |
| FBM | 0.0007 | 0.0473 | 0.1846 | 0.5464 | 8.8128 | 0.6542 | 1.2569 | 174 | 25 |
| Analyte | Treatment | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | CCMT | 35.0000 | 216.0000 | 488.5000 | 1135.0000 | 11056.7000 | 1263.1044 | 1978.4335 | 158 | 0 |
| FBM | 19.0000 | 351.8750 | 811.2500 | 1962.5000 | 11212.0000 | 1403.1690 | 1674.0968 | 158 | 0 | |
| TUR.ntu | CCMT | 11.2000 | 191.0000 | 669.5000 | 1315.0000 | 9730.0000 | 1394.8975 | 2124.7912 | 158 | 0 |
| FBM | 9.2300 | 360.0000 | 912.5000 | 2340.0000 | 10340.0000 | 1777.9692 | 2182.4528 | 158 | 0 | |
| NO3.NO2.mgl | CCMT | 0.1150 | 0.8330 | 1.5450 | 3.4275 | 36.5000 | 3.0174 | 4.2941 | 158 | 0 |
| FBM | 0.1150 | 1.1600 | 2.1050 | 3.6050 | 16.3000 | 2.8892 | 2.6310 | 158 | 0 | |
| TKN.mgl | CCMT | 0.0961 | 0.7598 | 1.1700 | 2.5625 | 169.0000 | 3.4819 | 14.3585 | 158 | 0 |
| FBM | 0.0320 | 0.6795 | 1.2750 | 2.4275 | 45.5000 | 2.3972 | 4.7675 | 158 | 0 | |
| TN.mgl | CCMT | 0.5000 | 1.8050 | 3.0100 | 6.0575 | 181.0000 | 6.4816 | 16.2719 | 158 | 0 |
| FBM | 0.5000 | 2.3025 | 3.6850 | 5.9775 | 48.6000 | 5.2504 | 6.0266 | 158 | 0 | |
| TIP.mgl | CCMT | 0.4710 | 1.6975 | 2.9150 | 4.3750 | 19.4000 | 4.1592 | 4.1765 | 158 | 0 |
| FBM | 0.2000 | 2.0525 | 3.8550 | 7.0800 | 21.2000 | 5.0983 | 4.1916 | 158 | 0 | |
| NH3.mgl | CCMT | 0.0102 | 0.0473 | 0.0920 | 0.2220 | 16.3000 | 0.3983 | 1.6070 | 158 | 0 |
| FBM | 0.0106 | 0.0383 | 0.0753 | 0.1937 | 10.3000 | 0.2839 | 0.9812 | 158 | 0 | |
| OrthoP.mgl | CCMT | 0.0050 | 0.0739 | 0.1395 | 0.2960 | 2.3900 | 0.2530 | 0.3266 | 158 | 0 |
| FBM | 0.0050 | 0.0711 | 0.1400 | 0.2332 | 2.3900 | 0.2420 | 0.3553 | 158 | 0 | |
| NOx.mgl | CCMT | 0.0035 | 0.0969 | 0.2840 | 1.1700 | 30.9000 | 1.4615 | 3.5045 | 158 | 0 |
| FBM | 0.0035 | 0.1768 | 0.3935 | 1.1100 | 13.2000 | 1.3486 | 2.4503 | 158 | 0 | |
| in.runoff.ac | CCMT | 0.0038 | 0.1069 | 0.3292 | 0.7454 | 3.6195 | 0.5199 | 0.5764 | 147 | 11 |
| FBM | 0.0006 | 0.0670 | 0.2950 | 0.6821 | 3.2288 | 0.4844 | 0.5685 | 136 | 22 | |
| TSS.lbac | CCMT | 0.4688 | 8.6006 | 36.7931 | 93.5945 | 3213.3356 | 125.0021 | 321.3694 | 147 | 11 |
| FBM | 0.3733 | 9.3144 | 40.2174 | 115.1128 | 2536.3548 | 171.3839 | 381.7160 | 136 | 22 | |
| TN.lbac | CCMT | 0.0061 | 0.0610 | 0.1584 | 0.5771 | 20.8095 | 0.6718 | 1.9156 | 147 | 11 |
| FBM | 0.0010 | 0.0427 | 0.2271 | 0.5877 | 8.9791 | 0.6050 | 1.1611 | 136 | 22 | |
| TIP.lbac | CCMT | 0.0037 | 0.0628 | 0.1597 | 0.4664 | 11.1513 | 0.4833 | 1.0796 | 147 | 11 |
| FBM | 0.0010 | 0.0490 | 0.1907 | 0.5023 | 7.1915 | 0.5842 | 1.0310 | 136 | 22 |
While we have imputed any missing values for nutrient concentration, nutrient loads will still have some na values that result from missing data from our ultrasonic velocity meter which calculates discharge.
Lets have a look at the summary stats of nutrient concentrations for specifically the instream monitoring sites.
df <- list()
for(i in c(9:17,32,33,35)) {
df1 <- mosaic::favstats(dat[dat$sample.type == "INST",i])
df1$i <- names(dat[i])
df[[i -8]] <- df1
}
df <- do.call(
rbind,
df
)
df <- df[,c(10,1:9)]
knitr::kable(df, caption = "Table 5.6: Statistical summary of nutrient concentrations at instream monitoring sites (INST only)", digits = 2,
col.names = c('Analyte', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na') ) %>%
kable_paper() %>%
remove_column(1)
| Analyte | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | 2.50 | 38.45 | 105.65 | 235.98 | 1385.70 | 195.23 | 248.21 | 46 | 0 |
| TUR.ntu | 11.20 | 59.95 | 167.50 | 447.75 | 2280.00 | 332.16 | 427.44 | 46 | 0 |
| NO3.NO2.mgl | 0.47 | 0.72 | 1.13 | 1.92 | 7.68 | 1.59 | 1.37 | 46 | 0 |
| TKN.mgl | 0.04 | 0.45 | 0.61 | 0.84 | 2.96 | 0.76 | 0.59 | 46 | 0 |
| TN.mgl | 0.50 | 1.39 | 1.75 | 2.73 | 8.95 | 2.35 | 1.75 | 46 | 0 |
| TIP.mgl | 0.56 | 1.15 | 1.62 | 2.48 | 4.64 | 1.87 | 0.96 | 46 | 0 |
| NH3.mgl | 0.02 | 0.06 | 0.13 | 0.24 | 1.59 | 0.23 | 0.31 | 46 | 0 |
| OrthoP.mgl | 0.04 | 0.14 | 0.24 | 0.47 | 1.37 | 0.35 | 0.31 | 46 | 0 |
| NOx.mgl | 0.00 | 0.11 | 0.34 | 1.00 | 8.79 | 0.84 | 1.45 | 46 | 0 |
| dissolvedO2.mg.l | 5.19 | 7.00 | 8.90 | 10.12 | 13.38 | 8.89 | 2.26 | 46 | 0 |
| dissolvedO2.sat.per | 57.10 | 74.80 | 85.25 | 93.47 | 175.40 | 85.98 | 18.73 | 46 | 0 |
| watertemp.c | 1.60 | 8.65 | 14.10 | 20.62 | 34.90 | 15.34 | 8.98 | 46 | 0 |
df <- list()
for(i in c(9:17,32,33,35)) {
df1 <- mosaic::favstats(dat[dat$sample.type == "INST",i] ~ dat$sampleid[dat$sample.type == "INST"])
df1$i <- names(dat[i])
df[[i -8]] <- df1
}
df <- do.call(
rbind,
df
)
df <- df[,c(11,1:10)]
df <- remove_missing(df)
knitr::kable(df, caption = "Table 5.7: Statistical summary of nutrient concentrations at instream monitoring sites (Harris Bayou tributary and Porter Bayou)", digits = 2,
col.names = c('Analyte','site', 'min', 'Q1', 'Median', 'Q3', 'max',
'mean', 'std dev.', 'n=', 'na')
) %>%
kable_paper() %>%
remove_column(1) %>%
collapse_rows(1)
| Analyte | site | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | HB | 2.50 | 20.25 | 39.40 | 73.12 | 179.50 | 53.78 | 46.20 | 22 | 0 |
| PB | 37.00 | 168.00 | 235.65 | 457.25 | 1385.70 | 324.90 | 286.20 | 24 | 0 | |
| TUR.ntu | HB | 11.20 | 32.42 | 58.55 | 96.40 | 246.00 | 78.37 | 66.08 | 22 | 0 |
| PB | 69.60 | 257.25 | 426.50 | 779.50 | 2280.00 | 564.80 | 485.18 | 24 | 0 | |
| NO3.NO2.mgl | HB | 0.54 | 0.62 | 0.73 | 1.14 | 7.68 | 1.31 | 1.69 | 22 | 0 |
| PB | 0.47 | 1.00 | 1.71 | 2.37 | 4.23 | 1.85 | 0.95 | 24 | 0 | |
| TKN.mgl | HB | 0.12 | 0.43 | 0.61 | 0.77 | 1.27 | 0.60 | 0.27 | 22 | 0 |
| PB | 0.04 | 0.46 | 0.64 | 1.17 | 2.96 | 0.91 | 0.76 | 24 | 0 | |
| TN.mgl | HB | 0.50 | 1.15 | 1.46 | 1.60 | 8.95 | 1.87 | 1.87 | 22 | 0 |
| PB | 0.50 | 1.83 | 2.62 | 3.21 | 7.19 | 2.79 | 1.53 | 24 | 0 | |
| TIP.mgl | HB | 0.56 | 1.01 | 1.21 | 1.76 | 3.08 | 1.43 | 0.69 | 22 | 0 |
| PB | 0.82 | 1.57 | 2.04 | 3.05 | 4.64 | 2.27 | 1.02 | 24 | 0 | |
| NH3.mgl | HB | 0.02 | 0.05 | 0.11 | 0.17 | 1.59 | 0.18 | 0.32 | 22 | 0 |
| PB | 0.02 | 0.08 | 0.21 | 0.30 | 1.15 | 0.28 | 0.30 | 24 | 0 | |
| OrthoP.mgl | HB | 0.04 | 0.17 | 0.27 | 0.52 | 1.37 | 0.41 | 0.36 | 22 | 0 |
| PB | 0.05 | 0.13 | 0.19 | 0.37 | 0.96 | 0.29 | 0.25 | 24 | 0 | |
| NOx.mgl | HB | 0.00 | 0.07 | 0.11 | 0.39 | 8.79 | 0.78 | 1.96 | 22 | 0 |
| PB | 0.00 | 0.28 | 0.71 | 1.17 | 3.00 | 0.90 | 0.77 | 24 | 0 | |
| dissolvedO2.mg.l | HB | 5.19 | 7.35 | 9.05 | 11.31 | 13.38 | 9.28 | 2.44 | 22 | 0 |
| PB | 5.71 | 7.02 | 8.32 | 9.74 | 13.03 | 8.54 | 2.07 | 24 | 0 | |
| dissolvedO2.sat.per | HB | 62.80 | 82.00 | 87.55 | 93.47 | 100.20 | 85.40 | 11.65 | 22 | 0 |
| PB | 57.10 | 74.25 | 83.05 | 92.67 | 175.40 | 86.52 | 23.70 | 24 | 0 | |
| watertemp.c | HB | 1.60 | 8.45 | 13.20 | 18.50 | 27.30 | 13.57 | 7.81 | 22 | 0 |
| PB | 4.00 | 9.65 | 15.35 | 24.82 | 34.90 | 16.95 | 9.82 | 24 | 0 |
df <- list()
for(i in 9:17) {
df1 <- mosaic::favstats(dat[i] ~ dat$sample.type)
df1$i <- names(dat[i])
df[[i -8]] <- df1
}
df <- do.call(
rbind,
df
)
df <- df[,c(11,1:10)]
knitr::kable(df, caption = "Table 5.8: Comparing nutrients concentration vaules between our sample types (Edge of Field and Instream)", digits = 4,
col.names = c('Analyte', 'Treatment', 'min', 'Q1', 'Median', 'Q3', 'max', 'mean', 'std dev.', 'n=', 'na')) %>%
kable_paper() %>%
collapse_rows(1)
| Analyte | Treatment | min | Q1 | Median | Q3 | max | mean | std dev. | n= | na |
|---|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl | EOF | 2.5000 | 270.5000 | 630.0000 | 1480.6250 | 11212.00 | 1339.9326 | 1866.3768 | 442 | 0 |
| INST | 2.5000 | 38.4500 | 105.6500 | 235.9750 | 1385.70 | 195.2304 | 248.2139 | 46 | 0 | |
| TUR.ntu | EOF | 9.2300 | 252.5000 | 816.5000 | 1902.5000 | 10340.00 | 1568.3602 | 2145.8004 | 442 | 0 |
| INST | 11.2000 | 59.9500 | 167.5000 | 447.7500 | 2280.00 | 332.1630 | 427.4404 | 46 | 0 | |
| NO3.NO2.mgl | EOF | 0.1150 | 1.0100 | 2.0650 | 3.7075 | 36.50 | 3.1639 | 3.6227 | 442 | 0 |
| INST | 0.4660 | 0.7220 | 1.1300 | 1.9175 | 7.68 | 1.5937 | 1.3655 | 46 | 0 | |
| TKN.mgl | EOF | 0.0270 | 0.7198 | 1.2600 | 2.4050 | 169.00 | 2.6503 | 9.1090 | 442 | 0 |
| INST | 0.0428 | 0.4510 | 0.6115 | 0.8420 | 2.96 | 0.7629 | 0.5940 | 46 | 0 | |
| TN.mgl | EOF | 0.5000 | 2.1075 | 3.5100 | 6.1250 | 181.00 | 5.7916 | 10.6983 | 442 | 0 |
| INST | 0.5000 | 1.3850 | 1.7550 | 2.7325 | 8.95 | 2.3498 | 1.7457 | 46 | 0 | |
| TIP.mgl | EOF | 0.0750 | 1.8725 | 3.2900 | 5.4150 | 49.50 | 4.8574 | 5.1151 | 442 | 0 |
| INST | 0.5550 | 1.1525 | 1.6200 | 2.4825 | 4.64 | 1.8682 | 0.9621 | 46 | 0 | |
| NH3.mgl | EOF | 0.0102 | 0.0442 | 0.0946 | 0.2445 | 16.30 | 0.3922 | 1.2452 | 442 | 0 |
| INST | 0.0163 | 0.0606 | 0.1320 | 0.2422 | 1.59 | 0.2322 | 0.3111 | 46 | 0 | |
| OrthoP.mgl | EOF | 0.0050 | 0.0754 | 0.1530 | 0.2977 | 7.02 | 0.3060 | 0.5369 | 442 | 0 |
| INST | 0.0433 | 0.1445 | 0.2360 | 0.4655 | 1.37 | 0.3497 | 0.3082 | 46 | 0 | |
| NOx.mgl | EOF | 0.0035 | 0.1430 | 0.4275 | 1.3025 | 30.90 | 1.4738 | 2.8758 | 442 | 0 |
| INST | 0.0035 | 0.1052 | 0.3370 | 1.0005 | 8.79 | 0.8408 | 1.4496 | 46 | 0 |
Porter Bayou near Shaw, MS
Is our data normally distributed? I would guess not but lets make sure. Log transformed data shown with normal curve in red.
for(i in c(9:17, 20:22)) {
d1 <- ggdensity(dat[dat$sample.type == "EOF", i],
xlab = names(dat[i]))
d2 <- ggdensity(log(dat[dat$sample.type == "EOF", i]),
xlab = paste("log transformed", names(dat[i]))) +
stat_overlay_normal_density(color="red")
print(d1)
print(d2)
}
Figure 6.1: Density plot to asses normality
Although we can see from the distrubutions, lets run a normality test on the various analyte distributions for verification.
df <- list()
for(i in c(9:17, 20:22)) {
df1 <-shapiro.test(dat[dat$sample.type == "EOF",i])
df1$i <- names(dat[i])
df[[i -8]] <- df1
}
df <- data.frame(matrix(unlist(df), nrow = 12, byrow = T), stringsAsFactors = FALSE)
df <- df[,c(3,5,1,2)]
kable(df, digits = 5, caption = "Table 6.1: Shapiro-Wilk normality test results", col.names = c("Test","Analyte", "Test Statistic", "P-value")) %>%
kable_paper() %>%
collapse_rows(1)
| Test | Analyte | Test Statistic | P-value |
|---|---|---|---|
| Shapiro-Wilk normality test | TSS.mgl | 0.660096482233668 | 9.42162292687065e-29 |
| TUR.ntu | 0.681094814405459 | 5.09830639247152e-28 | |
| NO3.NO2.mgl | 0.667718809245423 | 1.72220324984397e-28 | |
| TKN.mgl | 0.166886521534146 | 4.0179470787522e-40 | |
| TN.mgl | 0.320699738099478 | 2.32736118788988e-37 | |
| TIP.mgl | 0.687953491789984 | 9.01893123687923e-28 | |
| NH3.mgl | 0.278670484640589 | 3.67204715630481e-38 | |
| OrthoP.mgl | 0.468963239901255 | 3.65748051409427e-34 | |
| NOx.mgl | 0.516329848703278 | 5.45558665488862e-33 | |
| event.disch.l | 0.753397619608873 | 6.02409696855267e-24 | |
| acft.discharge | 0.753397619579854 | 6.02409695148469e-24 | |
| in.runoff.ac | 0.747059562806752 | 3.26402338579999e-24 |
None of the anlayte values follow a normal distribution.
Tables 5.2-8 nicely summarize our variable distributions yet plotting these can prove more meaningful, or at least better illustrate them. Here we want to understand several factors that we have established already: entire data, paired data points, and events that occured during our cover crop season, as well as paired events during the cover season. As we have established that our data in non-normal, i went ahead and superimposed the results for a two sided rank sum test. A p-value less than 0.05 would indicate that we can reject the null hypothesis that these samples are from the same population. In lower plot a black bar represents the median value and blue line is a locally smoothed regression line to aid in seeing trend over time. (method= loess())
p1 <- ggplot(dat[dat$sample.type == "EOF",],
aes(y= TSS.mgl, x= "All year", colour= treatment))+
geom_boxplot(outlier.shape = NA )+
coord_cartesian(ylim= c(0,5000))+
stat_compare_means(
aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
label.y = 3800)+
theme(axis.title.x = element_blank())
p2 <- ggplot(dat.pair[dat.pair$sample.type == "EOF",],
aes(y= TSS.mgl, x= " paired All year", colour= treatment))+
geom_boxplot(outlier.shape = NA)+
coord_cartesian(ylim= c(0,5000))+
stat_compare_means(
aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
label.y = 3800)+
theme(axis.title.y = element_blank(), axis.title.x = element_blank())
p3 <- ggplot(dat[dat$sample.type == "EOF" & dat$season == "cover",],
aes(y= TSS.mgl, x= "Cover season", colour= treatment))+
geom_boxplot(outlier.shape = NA)+
coord_cartesian(ylim= c(0,5000))+
stat_compare_means(
aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
label.y = 3800)+
theme(axis.title.y = element_blank(), axis.title.x = element_blank())
p4 <- ggplot(dat.pair[dat.pair$sample.type == "EOF" & dat.pair$season == "cover",],
aes(y= TSS.mgl, x= "paired Cover season", colour= treatment))+
geom_boxplot(outlier.shape = NA)+
coord_cartesian(ylim= c(0,5000))+
stat_compare_means(
aes(label = paste0(..method.., "\n", "p =", ..p.format..)),
label.y = 3800)+
theme(axis.title.y = element_blank(), axis.title.x = element_blank())
p5 <- ggplot(dat[dat$sample.type == "EOF",], aes(Date, TSS.mgl))+
geom_point()+
stat_smooth(span = 0.3)+
geom_hline(data = dat, yintercept = median(dat$TSS.mgl, na.rm= T))+
scale_x_date(date_labels = "%m-%Y", date_breaks= "2 months")+
rotate_x_text(angle = 45)
(p1 | p2 | p3 | p4) / p5 +
plot_layout(guides = 'collect')+
plot_annotation(title = 'Total Suspended Solids (milligrams / liter)',
caption = 'Some outliers may be omitted from visualization')
Figure 6.2
Figure 6.3
Figure 6.4
Figure 6.5
Figure 6.6
Figure 6.7
Figure 6.8
Figure 6.9
Figure 6.10
Instream concentrations across time
response = names(dat)[c(9:14,16,32,33,35)]
response = set_names(response)
scatter_fun = function (y) {
ggplot(dat[dat$sample.type == "INST",],
aes(x = Date, y = .data[[y]]))+
geom_point()+
scale_x_date(date_labels = "%m-%Y", date_breaks= "2 months")+
rotate_x_text(angle = 45)+
geom_smooth(span= 1)
}
inst_plots <- map(response, ~scatter_fun(.x))
inst_plots
Figure 6.11: Instream nutrient concentrations across time
dats <- filter(dat, dat$sample.type == "EOF")
analyteplot <- function(analyte,Title,Ylab = "mg/L",Ylimt) {
ggplot()+
geom_boxplot(data = dats,
aes(x = sampleid,
y = analyte,
fill= farm)
)+
labs(title = Title,
caption = "Some values may be omitted from vizualization. \n Suffix (1) is the treatment CCMT, suffix (2) is the control FBM")+
ylab(Ylab)+
xlab("Site")+
coord_cartesian(ylim= c(0,Ylimt))+
theme_bw()+
theme(axis.text.x = element_text(angle = 45, hjust = 1),
plot.caption = element_text(face= "italic"))
}
analyteplot(dats$TSS.mgl,"Total suspended solids","mg/L", 10000)
Figure 6.12
Figure 6.13
Figure 6.14
Figure 6.15
Figure 6.16
Figure 6.17
Figure 6.18
Figure 6.19
Figure 6.20
Figure 6.21
Figure 6.22
Figure 6.23
Figure 6.24
Here we can evaluate the distribution of reduction potentials. Each paired event produces a reduction (or increase) value for all the respective analytes. See section 4: Reduction Potential for explanation on how we produced these values. Again, (+) values represent a reduction relative to the control and (-) values represent negative reduction, i.e. an increase in concentrations on the treatment plots. The nature of the calculation allows for extremely negative numbers and a maximum reduction of 100%. (fbm - ccmt)/fbm If there was no nutrient in ccmt runnoff that would represent a 100% reduction. Conversely if the concentrations are higher on the ccmt treatment our (-) reduction can increase infinitely.
df <- list()
for(i in c(51,53,55,57,59,61,63,65,67,77,93,95)) {
df1 <- mosaic::favstats(dat.reduct[,i])
df1$i <- names(dat.reduct[i])
df[[i -8]] <- df1
}
df <- do.call(
rbind,
df
)
df <- df[c(10,1:9)]
knitr::kable(df, caption = "Table 6.1: Statistical summary of reduction potentials from paired events only", digits = 2 ,
col.names = c("Analyte", "min","Q1","median","Q3","max","mean","sd","n=", "NA")) %>%
kable_paper() %>%
remove_column(1)
| Analyte | min | Q1 | median | Q3 | max | mean | sd | n= | NA |
|---|---|---|---|---|---|---|---|---|---|
| TSS.mgl.per | -8029.93 | -9.19 | 35.22 | 58.99 | 99.37 | -128.09 | 839.56 | 158 | 0 |
| TUR.ntu.per | -5295.52 | 1.73 | 36.43 | 62.59 | 98.93 | -104.99 | 642.03 | 158 | 0 |
| NO3.NO2.mgl.per | -4604.35 | -11.20 | 23.84 | 46.08 | 93.44 | -76.33 | 458.47 | 158 | 0 |
| TKN.mgl.per | -2962.50 | -110.96 | -3.63 | 44.69 | 95.32 | -97.78 | 324.63 | 158 | 0 |
| TN.mgl.per | -790.71 | -9.23 | 14.35 | 41.07 | 94.64 | -21.73 | 131.03 | 158 | 0 |
| TIP.mgl.per | -857.67 | -5.02 | 24.24 | 44.50 | 94.81 | -2.71 | 115.02 | 158 | 0 |
| NH3.mgl.per | -16746.15 | -137.70 | -26.87 | 36.44 | 92.46 | -199.36 | 1341.05 | 158 | 0 |
| OrthoP.mgl.per | -1202.39 | -95.21 | -4.88 | 34.46 | 91.17 | -60.65 | 172.17 | 158 | 0 |
| NOx.mgl.per | -23414.29 | -117.26 | 10.76 | 67.92 | 99.77 | -381.63 | 2178.48 | 158 | 0 |
| in.runoff.ac.per | -10688.04 | -163.90 | -16.30 | 28.84 | 94.88 | -229.85 | 996.60 | 134 | 24 |
| TN.lbac.per | -11094.44 | -105.49 | -8.95 | 35.99 | 97.70 | -214.13 | 1015.18 | 134 | 24 |
| TIP.lbac.per | -9860.39 | -89.87 | -3.09 | 43.18 | 96.18 | -189.81 | 940.32 | 134 | 24 |
for (i in c(51,53,55,57,59,61,63,65,67,77,93,95)){
rd <- boxplot(dat.reduct[,i], outline= FALSE, na.rm= T, main = names(dat.reduct[i]) , ylab = "(+) represents reduction from treatment")
rdmean <- with(rd, stats[3,], names)
text(1, rdmean, paste(round(rdmean,0)), pos = 3)
}
Figure 6.24: Reduction potential boxplots